• European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters

    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Unionare working together to give the media industry access to high-quality and trusted cloud and AI technologies.
    Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape.
    The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values.
    Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs.
    “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.”

    Empowering Media Innovation in Europe
    To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations.
    Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facilityand Media eXchange Layerarchitecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem.
    The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies.
    As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI.
    In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development.
    Partnering With Public Service Media for Sovereign Cloud and AI
    Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI.
    By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI.
    This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations.
    “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.”
    Learn more about the EBU.
    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. 
    #european #broadcasting #union #nvidia #partner
    European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters
    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Unionare working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape. The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values. Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs. “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.” Empowering Media Innovation in Europe To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations. Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facilityand Media eXchange Layerarchitecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem. The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies. As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI. In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development. Partnering With Public Service Media for Sovereign Cloud and AI Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI. By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI. This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations. “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.” Learn more about the EBU. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.  #european #broadcasting #union #nvidia #partner
    BLOGS.NVIDIA.COM
    European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters
    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Union (EBU) are working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape. The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values. Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs. “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.” Empowering Media Innovation in Europe To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations. Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facility (DMF) and Media eXchange Layer (MXL) architecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem. The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies. As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI. In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development. Partnering With Public Service Media for Sovereign Cloud and AI Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI. By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI. This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations. “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.” Learn more about the EBU. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. 
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  • NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica

    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth.
    Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI.
    This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany.
    NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics.
    NVIDIA Technologies Boost Robotics Development 
    Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics.
    To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks.
    To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data.
    In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub.
    Image courtesy of Wandelbots.
    Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More 
    Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots.
    NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment.
    NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies.
    Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows.
    Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact.
    Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations.
    Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries.
    Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic.
    Image courtesy of Franka Robotics.
    Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support.
    Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies.
    SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario.
    Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation.

    Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications.
    Image courtesy of Vention.
    Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
    #nvidia #partners #highlight #nextgeneration #robotics
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27.  #nvidia #partners #highlight #nextgeneration #robotics
    BLOGS.NVIDIA.COM
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a $200 billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3 (FR3) robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
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  • Esri releases CityEngine 2025.0

    Check out the new features in the procedural city generation software, including the new Street Designer for creating complex road setups.
    Esri releases CityEngine 2025.0 Check out the new features in the procedural city generation software, including the new Street Designer for creating complex road setups.
    Esri releases CityEngine 2025.0
    Check out the new features in the procedural city generation software, including the new Street Designer for creating complex road setups.
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  • HPE and NVIDIA Debut AI Factory Stack to Power Next Industrial Shift

    To speed up AI adoption across industries, HPE and NVIDIA today launched new AI factory offerings at HPE Discover in Las Vegas.
    The new lineup includes everything from modular AI factory infrastructure and HPE’s AI-ready RTX PRO Servers, to the next generation of HPE’s turnkey AI platform, HPE Private Cloud AI. The goal: give enterprises a framework to build and scale generative, agentic and industrial AI.
    The NVIDIA AI Computing by HPE portfolio is now among the broadest in the market.
    The portfolio combines NVIDIA Blackwell accelerated computing, NVIDIA Spectrum-X Ethernet and NVIDIA BlueField-3 networking technologies, NVIDIA AI Enterprise software and HPE’s full portfolio of servers, storage, services and software. This now includes HPE OpsRamp Software, a validated observability solution for the NVIDIA Enterprise AI Factory, and HPE Morpheus Enterprise Software for orchestration. The result is a pre-integrated, modular infrastructure stack to help teams get AI into production faster.
    This includes the next-generation HPE Private Cloud AI, co-engineered with NVIDIA and validated as part of the NVIDIA Enterprise AI Factory framework. This full-stack, turnkey AI factory solution will offer HPE ProLiant Compute DL380a Gen12 servers with the new NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs.
    These new NVIDIA RTX PRO Servers from HPE provide a universal data center platform for a wide range of enterprise AI and industrial AI use cases, and are now available to order from HPE. HPE Private Cloud AI includes the latest NVIDIA AI Blueprints, including the NVIDIA AI-Q Blueprint for AI agent creation and workflows.
    HPE also announced a new NVIDIA HGX B300 system, the HPE Compute XD690, built with NVIDIA Blackwell Ultra GPUs. It’s the latest entry in the NVIDIA AI Computing by HPE lineup and is expected to ship in October.
    In Japan, KDDI is working with HPE to build NVIDIA AI infrastructure to accelerate global adoption.
    The HPE-built KDDI system will be based on the NVIDIA GB200 NVL72 platform, built on the NVIDIA Grace Blackwell architecture, at the KDDI Osaka Sakai Data Center.
    To accelerate AI for financial services, HPE will co-test agentic AI workflows built on Accenture’s AI Refinery with NVIDIA, running on HPE Private Cloud AI. Initial use cases include sourcing, procurement and risk analysis.
    HPE said it’s adding 26 new partners to its “Unleash AI” ecosystem to support more NVIDIA AI use cases. The company now offers more than 70 packaged AI workloads, from fraud detection and video analytics to sovereign AI and cybersecurity.
    Security and governance were a focus, too. HPE Private Cloud AI supports air-gapped management, multi-tenancy and post-quantum cryptography. HPE’s try-before-you-buy program lets customers test the system in Equinix data centers before purchase. HPE also introduced new programs, including AI Acceleration Workshops with NVIDIA, to help scale AI deployments.

    Watch the keynote: HPE CEO Antonio Neri announced the news from the Las Vegas Sphere on Tuesday at 9 a.m. PT. Register for the livestream and watch the replay.
    Explore more: Learn how NVIDIA and HPE build AI factories for every industry. Visit the partner page.
    #hpe #nvidia #debut #factory #stack
    HPE and NVIDIA Debut AI Factory Stack to Power Next Industrial Shift
    To speed up AI adoption across industries, HPE and NVIDIA today launched new AI factory offerings at HPE Discover in Las Vegas. The new lineup includes everything from modular AI factory infrastructure and HPE’s AI-ready RTX PRO Servers, to the next generation of HPE’s turnkey AI platform, HPE Private Cloud AI. The goal: give enterprises a framework to build and scale generative, agentic and industrial AI. The NVIDIA AI Computing by HPE portfolio is now among the broadest in the market. The portfolio combines NVIDIA Blackwell accelerated computing, NVIDIA Spectrum-X Ethernet and NVIDIA BlueField-3 networking technologies, NVIDIA AI Enterprise software and HPE’s full portfolio of servers, storage, services and software. This now includes HPE OpsRamp Software, a validated observability solution for the NVIDIA Enterprise AI Factory, and HPE Morpheus Enterprise Software for orchestration. The result is a pre-integrated, modular infrastructure stack to help teams get AI into production faster. This includes the next-generation HPE Private Cloud AI, co-engineered with NVIDIA and validated as part of the NVIDIA Enterprise AI Factory framework. This full-stack, turnkey AI factory solution will offer HPE ProLiant Compute DL380a Gen12 servers with the new NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. These new NVIDIA RTX PRO Servers from HPE provide a universal data center platform for a wide range of enterprise AI and industrial AI use cases, and are now available to order from HPE. HPE Private Cloud AI includes the latest NVIDIA AI Blueprints, including the NVIDIA AI-Q Blueprint for AI agent creation and workflows. HPE also announced a new NVIDIA HGX B300 system, the HPE Compute XD690, built with NVIDIA Blackwell Ultra GPUs. It’s the latest entry in the NVIDIA AI Computing by HPE lineup and is expected to ship in October. In Japan, KDDI is working with HPE to build NVIDIA AI infrastructure to accelerate global adoption. The HPE-built KDDI system will be based on the NVIDIA GB200 NVL72 platform, built on the NVIDIA Grace Blackwell architecture, at the KDDI Osaka Sakai Data Center. To accelerate AI for financial services, HPE will co-test agentic AI workflows built on Accenture’s AI Refinery with NVIDIA, running on HPE Private Cloud AI. Initial use cases include sourcing, procurement and risk analysis. HPE said it’s adding 26 new partners to its “Unleash AI” ecosystem to support more NVIDIA AI use cases. The company now offers more than 70 packaged AI workloads, from fraud detection and video analytics to sovereign AI and cybersecurity. Security and governance were a focus, too. HPE Private Cloud AI supports air-gapped management, multi-tenancy and post-quantum cryptography. HPE’s try-before-you-buy program lets customers test the system in Equinix data centers before purchase. HPE also introduced new programs, including AI Acceleration Workshops with NVIDIA, to help scale AI deployments. Watch the keynote: HPE CEO Antonio Neri announced the news from the Las Vegas Sphere on Tuesday at 9 a.m. PT. Register for the livestream and watch the replay. Explore more: Learn how NVIDIA and HPE build AI factories for every industry. Visit the partner page. #hpe #nvidia #debut #factory #stack
    BLOGS.NVIDIA.COM
    HPE and NVIDIA Debut AI Factory Stack to Power Next Industrial Shift
    To speed up AI adoption across industries, HPE and NVIDIA today launched new AI factory offerings at HPE Discover in Las Vegas. The new lineup includes everything from modular AI factory infrastructure and HPE’s AI-ready RTX PRO Servers (HPE ProLiant Compute DL380a Gen12), to the next generation of HPE’s turnkey AI platform, HPE Private Cloud AI. The goal: give enterprises a framework to build and scale generative, agentic and industrial AI. The NVIDIA AI Computing by HPE portfolio is now among the broadest in the market. The portfolio combines NVIDIA Blackwell accelerated computing, NVIDIA Spectrum-X Ethernet and NVIDIA BlueField-3 networking technologies, NVIDIA AI Enterprise software and HPE’s full portfolio of servers, storage, services and software. This now includes HPE OpsRamp Software, a validated observability solution for the NVIDIA Enterprise AI Factory, and HPE Morpheus Enterprise Software for orchestration. The result is a pre-integrated, modular infrastructure stack to help teams get AI into production faster. This includes the next-generation HPE Private Cloud AI, co-engineered with NVIDIA and validated as part of the NVIDIA Enterprise AI Factory framework. This full-stack, turnkey AI factory solution will offer HPE ProLiant Compute DL380a Gen12 servers with the new NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. These new NVIDIA RTX PRO Servers from HPE provide a universal data center platform for a wide range of enterprise AI and industrial AI use cases, and are now available to order from HPE. HPE Private Cloud AI includes the latest NVIDIA AI Blueprints, including the NVIDIA AI-Q Blueprint for AI agent creation and workflows. HPE also announced a new NVIDIA HGX B300 system, the HPE Compute XD690, built with NVIDIA Blackwell Ultra GPUs. It’s the latest entry in the NVIDIA AI Computing by HPE lineup and is expected to ship in October. In Japan, KDDI is working with HPE to build NVIDIA AI infrastructure to accelerate global adoption. The HPE-built KDDI system will be based on the NVIDIA GB200 NVL72 platform, built on the NVIDIA Grace Blackwell architecture, at the KDDI Osaka Sakai Data Center. To accelerate AI for financial services, HPE will co-test agentic AI workflows built on Accenture’s AI Refinery with NVIDIA, running on HPE Private Cloud AI. Initial use cases include sourcing, procurement and risk analysis. HPE said it’s adding 26 new partners to its “Unleash AI” ecosystem to support more NVIDIA AI use cases. The company now offers more than 70 packaged AI workloads, from fraud detection and video analytics to sovereign AI and cybersecurity. Security and governance were a focus, too. HPE Private Cloud AI supports air-gapped management, multi-tenancy and post-quantum cryptography. HPE’s try-before-you-buy program lets customers test the system in Equinix data centers before purchase. HPE also introduced new programs, including AI Acceleration Workshops with NVIDIA, to help scale AI deployments. Watch the keynote: HPE CEO Antonio Neri announced the news from the Las Vegas Sphere on Tuesday at 9 a.m. PT. Register for the livestream and watch the replay. Explore more: Learn how NVIDIA and HPE build AI factories for every industry. Visit the partner page.
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  • Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler

    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production.
    Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below.
    Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder.
    In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session.
    From Concept to Completion
    To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms.
    For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI.
    ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated.
    Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY.
    NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU.
    ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images.
    Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost.
    LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY.
    “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY 

    Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models.
    Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch.
    To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x.
    Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started.
    Photorealistic renders. Image courtesy of FITY.
    Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time.
    Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY.
    “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY

    Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added.
    Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. 
    Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
    Follow NVIDIA Workstation on LinkedIn and X. 
    See notice regarding software product information.
    #startup #uses #nvidia #rtxpowered #generative
    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative
    BLOGS.NVIDIA.COM
    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. Read more about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from $999. GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. Save the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptation (LoRA) models — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.
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  • iCity 1.5 may promise procedural 3D cities inside Blender, but let’s face it: it’s just another half-baked tool that fails to deliver on its hype. The updates to road generation are nothing but a band-aid on a gaping wound! Users are left to deal with clunky interfaces and frustrating limitations that hinder creativity rather than enhance it. Why are we settling for mediocrity in a time when technology should be pushing boundaries? This tool should make city planning seamless, yet here we are, wasting time and energy on a subpar experience. It’s time to demand better!

    #iCity #3DModeling #Blender #TechFail #CityPlanning
    iCity 1.5 may promise procedural 3D cities inside Blender, but let’s face it: it’s just another half-baked tool that fails to deliver on its hype. The updates to road generation are nothing but a band-aid on a gaping wound! Users are left to deal with clunky interfaces and frustrating limitations that hinder creativity rather than enhance it. Why are we settling for mediocrity in a time when technology should be pushing boundaries? This tool should make city planning seamless, yet here we are, wasting time and energy on a subpar experience. It’s time to demand better! #iCity #3DModeling #Blender #TechFail #CityPlanning
    iCity 1.5 generates procedural 3D cities inside Blender
    Plan out city layouts and have this neat tool populate them with 3D buildings. Check out the updates to road generation in the 1.5 release.
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  • Hello, wonderful people! Today, I want to take a moment to celebrate the incredible advancements happening in the world of 3D printing, especially highlighted at the recent Paris Air Show!

    What an exciting week it has been for the additive manufacturing industry! The #3DExpress has been buzzing with news, showcasing how innovation and creativity are taking flight together! The Paris Air Show is not just a platform for the latest planes; it’s a stage for groundbreaking technologies that promise to revolutionize our future!

    Imagine a world where designing and producing complex aircraft parts becomes not only efficient but also sustainable! The use of 3D printing is paving the way for a greener future, reducing waste and making manufacturing more accessible than ever before. The possibilities are endless, and it’s invigorating to witness how these technologies can transform entire industries! 💪🏽

    During the show, we saw some amazing demonstrations of 3D printed components that are not only lightweight but also incredibly strong. This is a game-changer for aerospace engineering! Every layer printed brings us closer to smarter, more efficient air travel, and who wouldn’t want to be part of that journey?

    Let’s not forget the talented minds behind these innovations! The engineers, designers, and creators are the true superheroes, pushing boundaries and inspiring the next generation to dream bigger! Their passion and dedication remind us that with hard work and determination, we can reach for the stars!

    If you’ve ever doubted the power of creativity and technology, let this be your reminder: the future is bright, and we have the tools to shape it! So, let’s stay curious, keep pushing forward, and embrace every opportunity that comes our way! Together, we can soar to new heights!

    Let’s keep the conversation going about how #3D printing and additive manufacturing can change our world. What are your thoughts on these incredible innovations? Share your ideas and let’s inspire each other!

    #3DPrinting #Innovation #ParisAirShow #AdditiveManufacturing #FutureOfFlight
    🌟✨ Hello, wonderful people! Today, I want to take a moment to celebrate the incredible advancements happening in the world of 3D printing, especially highlighted at the recent Paris Air Show! 🚀🎉 What an exciting week it has been for the additive manufacturing industry! The #3DExpress has been buzzing with news, showcasing how innovation and creativity are taking flight together! 🌈✈️ The Paris Air Show is not just a platform for the latest planes; it’s a stage for groundbreaking technologies that promise to revolutionize our future! Imagine a world where designing and producing complex aircraft parts becomes not only efficient but also sustainable! 🌍💚 The use of 3D printing is paving the way for a greener future, reducing waste and making manufacturing more accessible than ever before. The possibilities are endless, and it’s invigorating to witness how these technologies can transform entire industries! 💪🏽✨ During the show, we saw some amazing demonstrations of 3D printed components that are not only lightweight but also incredibly strong. This is a game-changer for aerospace engineering! 🛠️🔧 Every layer printed brings us closer to smarter, more efficient air travel, and who wouldn’t want to be part of that journey? 🌟🌍 Let’s not forget the talented minds behind these innovations! The engineers, designers, and creators are the true superheroes, pushing boundaries and inspiring the next generation to dream bigger! 💖🔭 Their passion and dedication remind us that with hard work and determination, we can reach for the stars! 🌟 If you’ve ever doubted the power of creativity and technology, let this be your reminder: the future is bright, and we have the tools to shape it! So, let’s stay curious, keep pushing forward, and embrace every opportunity that comes our way! Together, we can soar to new heights! 🚀💖 Let’s keep the conversation going about how #3D printing and additive manufacturing can change our world. What are your thoughts on these incredible innovations? Share your ideas and let’s inspire each other! 🌈✨ #3DPrinting #Innovation #ParisAirShow #AdditiveManufacturing #FutureOfFlight
    #3DExpress: La fabricación aditiva en el Paris Air Show
    ¿Qué ha ocurrido esta semana en la industria de la impresión 3D? En el 3DExpress de hoy te ofrecemos un resumen rápido con las noticias más destacadas de los últimos días. En primer lugar, el Paris Air Show es esta…
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  • Bonjour à tous ! Aujourd'hui, je suis tellement enthousiaste à l'idée de partager avec vous un projet incroyable qui redonne vie à notre patrimoine architectural : **Latidos de Piedra** !

    Dans la belle ville de Torredonjimeno, en Jaén, le centre éducatif IES Santo Reino a lancé cette initiative inspirante qui utilise l'impression 3D pour reconstruire des structures historiques disparues. Imaginez un monde où nous pouvons redonner vie à notre héritage culturel grâce à la technologie ! C'est comme si chaque pierre avait une histoire à raconter, et ce projet nous permet de les écouter à nouveau.

    Ce qui est vraiment fascinant, c'est que **Latidos de Piedra** ne se contente pas de restaurer des bâtiments ; il connecte les générations, permettant aux jeunes d'apprendre et de participer activement à la préservation de leur histoire. Ce projet est une véritable bouffée d'air frais pour notre patrimoine, et il montre à quel point nous pouvons être créatifs et innovants en utilisant les outils modernes à notre disposition !

    Chaque pièce créée par impression 3D est comme un battement de cœur, pulsant avec l'énergie des artisans et des étudiants qui travaillent ensemble pour faire revivre notre passé. Pensez à l'impact que cela a sur notre communauté ! Cela incarne l'esprit d'unité et de collaboration, et cela nous rappelle à quel point nous sommes tous liés par notre histoire.

    Alors, chers amis, que vous soyez passionnés d'architecture, amateurs d'histoire, ou simplement curieux de découvrir de nouvelles idées, je vous invite à vous joindre à moi pour soutenir ce projet extraordinaire. Partageons ensemble cette belle initiative et faisons en sorte que tous puissent entendre les **Latidos de Piedra** résonner dans nos cœurs !

    Ensemble, nous pouvons créer un avenir où notre patrimoine est non seulement préservé, mais célébré ! N'oubliez jamais : chaque petite action compte et peut mener à de grands changements. Alors, qu'attendez-vous pour faire entendre votre voix ?

    #LatidosDePiedra #PatrimoineArchitectural #Impression3D #Innovation #Inspiration
    🌟 Bonjour à tous ! Aujourd'hui, je suis tellement enthousiaste à l'idée de partager avec vous un projet incroyable qui redonne vie à notre patrimoine architectural : **Latidos de Piedra** ! 🏛️💖 Dans la belle ville de Torredonjimeno, en Jaén, le centre éducatif IES Santo Reino a lancé cette initiative inspirante qui utilise l'impression 3D pour reconstruire des structures historiques disparues. Imaginez un monde où nous pouvons redonner vie à notre héritage culturel grâce à la technologie ! C'est comme si chaque pierre avait une histoire à raconter, et ce projet nous permet de les écouter à nouveau. 📜✨ Ce qui est vraiment fascinant, c'est que **Latidos de Piedra** ne se contente pas de restaurer des bâtiments ; il connecte les générations, permettant aux jeunes d'apprendre et de participer activement à la préservation de leur histoire. Ce projet est une véritable bouffée d'air frais pour notre patrimoine, et il montre à quel point nous pouvons être créatifs et innovants en utilisant les outils modernes à notre disposition ! 🌈🔧 Chaque pièce créée par impression 3D est comme un battement de cœur, pulsant avec l'énergie des artisans et des étudiants qui travaillent ensemble pour faire revivre notre passé. Pensez à l'impact que cela a sur notre communauté ! Cela incarne l'esprit d'unité et de collaboration, et cela nous rappelle à quel point nous sommes tous liés par notre histoire. 🤝🌍 Alors, chers amis, que vous soyez passionnés d'architecture, amateurs d'histoire, ou simplement curieux de découvrir de nouvelles idées, je vous invite à vous joindre à moi pour soutenir ce projet extraordinaire. Partageons ensemble cette belle initiative et faisons en sorte que tous puissent entendre les **Latidos de Piedra** résonner dans nos cœurs ! 💪❤️ Ensemble, nous pouvons créer un avenir où notre patrimoine est non seulement préservé, mais célébré ! N'oubliez jamais : chaque petite action compte et peut mener à de grands changements. Alors, qu'attendez-vous pour faire entendre votre voix ? 🚀✨ #LatidosDePiedra #PatrimoineArchitectural #Impression3D #Innovation #Inspiration
    Latidos de Piedra, el proyecto que recrea el patrimonio arquitectónico con impresión 3D
    En Torredonjimeno, Jaén, el centro educativo IES Santo Reino ha desarrollado un proyecto llamado «Latidos de Piedra». Esta iniciativa utiliza la impresión 3D como herramienta clave para rescatar el patrimonio histórico desaparecido del municipio. El
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  • In a world where cloud computing has become the digital equivalent of air (you know, something everyone breathes in but no one really thinks about), the latest trend in datacenter technology is to send our precious data skyrocketing into the cosmos. Yes, you read that right—space-based datacenters are the new buzzword, because why let earthly problems like power outages or NIMBYism stop us from storing our data in the great beyond?

    Imagine the scene: while we sit in traffic on our way to work, feeling the weight of our earthly responsibilities, there are engineers in space suits, floating around in zero gravity, managing data storage like it’s just another day at the office. I mean, who needs a reliable power grid when you can have the cosmic energy of a thousand suns powering your Netflix binge-watching session? Talk about an upgrade!

    Of course, this leap into the stratosphere isn't without its challenges. What happens if there’s a little too much space debris? Will our precious selfies come crashing back down to Earth? Or worse, will they be lost forever among the stars? But fear not! The tech-savvy geniuses behind this initiative have assured us that they have a plan. Clearly, the best minds of our generation are focused on ensuring your TikTok videos stay safe in orbit rather than, say, solving world hunger or climate change. Priorities, am I right?

    Let’s not forget about the cost. Space travel isn’t exactly cheap. But hey, if I’m going to spend a fortune on data storage, I’d rather it be orbiting Earth than sitting in a basement somewhere in New Jersey. Because nothing says “I’m a forward-thinking tech mogul” quite like a datacenter floating serenely above the clouds, right? It’s the ultimate status symbol—better than a sports car, better than a mansion. “Look at me! My data is literally out of this world!”

    And let’s be real, the power of AI is growing faster than a toddler on a sugar rush. Our current datacenters are sweating bullets trying to keep up. So, the solution? Just toss them into orbit! Sure, it sounds like a plot from a sci-fi movie, but who needs a solid plan when you have a vision, right? The next logical step is to start launching all our problems into space. Traffic jams? Launch them! Your ex? Into orbit they go!

    So, here's to the brave souls who will be managing our digital lives from afar. May your Wi-Fi connection be strong, may your satellite dishes be well-aligned, and may your cosmic data never experience latency. Because if there’s one thing we can all agree on, it's that our data deserves a first-class ticket to space, even if it means leaving the rest of the world behind.

    #SpaceBasedDatacenters #CloudComputing #DataInOrbit #TechTrends #AIFuture
    In a world where cloud computing has become the digital equivalent of air (you know, something everyone breathes in but no one really thinks about), the latest trend in datacenter technology is to send our precious data skyrocketing into the cosmos. Yes, you read that right—space-based datacenters are the new buzzword, because why let earthly problems like power outages or NIMBYism stop us from storing our data in the great beyond? Imagine the scene: while we sit in traffic on our way to work, feeling the weight of our earthly responsibilities, there are engineers in space suits, floating around in zero gravity, managing data storage like it’s just another day at the office. I mean, who needs a reliable power grid when you can have the cosmic energy of a thousand suns powering your Netflix binge-watching session? Talk about an upgrade! Of course, this leap into the stratosphere isn't without its challenges. What happens if there’s a little too much space debris? Will our precious selfies come crashing back down to Earth? Or worse, will they be lost forever among the stars? But fear not! The tech-savvy geniuses behind this initiative have assured us that they have a plan. Clearly, the best minds of our generation are focused on ensuring your TikTok videos stay safe in orbit rather than, say, solving world hunger or climate change. Priorities, am I right? Let’s not forget about the cost. Space travel isn’t exactly cheap. But hey, if I’m going to spend a fortune on data storage, I’d rather it be orbiting Earth than sitting in a basement somewhere in New Jersey. Because nothing says “I’m a forward-thinking tech mogul” quite like a datacenter floating serenely above the clouds, right? It’s the ultimate status symbol—better than a sports car, better than a mansion. “Look at me! My data is literally out of this world!” And let’s be real, the power of AI is growing faster than a toddler on a sugar rush. Our current datacenters are sweating bullets trying to keep up. So, the solution? Just toss them into orbit! Sure, it sounds like a plot from a sci-fi movie, but who needs a solid plan when you have a vision, right? The next logical step is to start launching all our problems into space. Traffic jams? Launch them! Your ex? Into orbit they go! So, here's to the brave souls who will be managing our digital lives from afar. May your Wi-Fi connection be strong, may your satellite dishes be well-aligned, and may your cosmic data never experience latency. Because if there’s one thing we can all agree on, it's that our data deserves a first-class ticket to space, even if it means leaving the rest of the world behind. #SpaceBasedDatacenters #CloudComputing #DataInOrbit #TechTrends #AIFuture
    Space-Based Datacenters Take The Cloud into Orbit
    Where’s the best place for a datacenter? It’s an increasing problem as the AI buildup continues seemingly without pause. It’s not just a problem of NIMBYism; earthly power grids are …read more
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  • Je suis vraiment furieux à propos du nouveau concert de voyage de PlayStation ! Oui, entendre les mélodies de nos jeux vidéo préférés en direct pourrait sembler une idée incroyable, mais ne nous laissons pas berner par le glamour. Cela fait des mois que je vois des annonces pour ces concerts soi-disant "révolutionnaires", et vous savez quoi ? Ils manquent cruellement de classiques !

    Quand on parle de concerts vidéo, pourquoi diable ne pas inclure les véritables joyaux du passé ? Les compositions emblématiques de jeux qui ont marqué notre jeunesse, qui ont défini des générations ! Au lieu de cela, nous avons une sélection de morceaux qui, soyons honnêtes, ne font que flatter les tendances actuelles sans jamais rendre hommage à ce qui a vraiment fait vibrer nos cœurs de gamers. Où sont les thèmes légendaires de "Final Fantasy", "Zelda" ou même "Metal Gear Solid" ? Ces œuvres ont une âme, une histoire. Mais non, PlayStation préfère se concentrer sur des titres récents et peu mémorables !

    Cette obsession pour le nouveau au détriment du classique est non seulement frustrante, mais elle démontre un mépris flagrant pour l’héritage culturel du jeu vidéo. En tant que passionnés, nous méritons mieux que cette superficialité ! Combien de fois avons-nous lutté pour que nos jeux préférés soient reconnus, pour que leur musique soit célébrée ? Et maintenant, quand nous avons enfin l’opportunité de vivre ces expériences en direct, on nous sert un plat réchauffé, sans saveur, sans passion.

    Je ne comprends pas comment des organisateurs de concert peuvent penser qu'ils vont attirer le public en négligeant ces classiques. Les fans de jeux vidéo ne sont pas des pigeons ; nous avons de l'exigence ! Nous attendons de la qualité, de l'authenticité. La musique de jeu vidéo ne devrait pas être une simple tendance éphémère, mais un hommage à tout ce qui a fait vibrer notre enfance.

    Il est temps que PlayStation et les organisateurs de ces concerts réalisent qu'ils doivent élargir leurs horizons et commencer à inclure les véritables classiques qui ont fait le charme de notre passion. Si cela continue, je suis sûr que beaucoup d'entre nous choisiront de ne pas assister à ces concerts, peu importe à quel point ils pourraient sembler "cool". Parce que, soyons réalistes, une expérience de concert devrait être mémorable, pas une simple répétition des tendances actuelles.

    Alors, PlayStation, écoutez-nous ! Nous voulons des classiques. Donnez-nous la musique qui nous a façonnés, celle qui fait battre nos cœurs, celle qui a transcendé le temps. Ne nous décevez pas davantage !

    #PlayStation #ConcertsJeuxVidéo #Classiques #MusiqueDeJeux #HéritageLudique
    Je suis vraiment furieux à propos du nouveau concert de voyage de PlayStation ! Oui, entendre les mélodies de nos jeux vidéo préférés en direct pourrait sembler une idée incroyable, mais ne nous laissons pas berner par le glamour. Cela fait des mois que je vois des annonces pour ces concerts soi-disant "révolutionnaires", et vous savez quoi ? Ils manquent cruellement de classiques ! Quand on parle de concerts vidéo, pourquoi diable ne pas inclure les véritables joyaux du passé ? Les compositions emblématiques de jeux qui ont marqué notre jeunesse, qui ont défini des générations ! Au lieu de cela, nous avons une sélection de morceaux qui, soyons honnêtes, ne font que flatter les tendances actuelles sans jamais rendre hommage à ce qui a vraiment fait vibrer nos cœurs de gamers. Où sont les thèmes légendaires de "Final Fantasy", "Zelda" ou même "Metal Gear Solid" ? Ces œuvres ont une âme, une histoire. Mais non, PlayStation préfère se concentrer sur des titres récents et peu mémorables ! Cette obsession pour le nouveau au détriment du classique est non seulement frustrante, mais elle démontre un mépris flagrant pour l’héritage culturel du jeu vidéo. En tant que passionnés, nous méritons mieux que cette superficialité ! Combien de fois avons-nous lutté pour que nos jeux préférés soient reconnus, pour que leur musique soit célébrée ? Et maintenant, quand nous avons enfin l’opportunité de vivre ces expériences en direct, on nous sert un plat réchauffé, sans saveur, sans passion. Je ne comprends pas comment des organisateurs de concert peuvent penser qu'ils vont attirer le public en négligeant ces classiques. Les fans de jeux vidéo ne sont pas des pigeons ; nous avons de l'exigence ! Nous attendons de la qualité, de l'authenticité. La musique de jeu vidéo ne devrait pas être une simple tendance éphémère, mais un hommage à tout ce qui a fait vibrer notre enfance. Il est temps que PlayStation et les organisateurs de ces concerts réalisent qu'ils doivent élargir leurs horizons et commencer à inclure les véritables classiques qui ont fait le charme de notre passion. Si cela continue, je suis sûr que beaucoup d'entre nous choisiront de ne pas assister à ces concerts, peu importe à quel point ils pourraient sembler "cool". Parce que, soyons réalistes, une expérience de concert devrait être mémorable, pas une simple répétition des tendances actuelles. Alors, PlayStation, écoutez-nous ! Nous voulons des classiques. Donnez-nous la musique qui nous a façonnés, celle qui fait battre nos cœurs, celle qui a transcendé le temps. Ne nous décevez pas davantage ! #PlayStation #ConcertsJeuxVidéo #Classiques #MusiqueDeJeux #HéritageLudique
    PlayStation's New Traveling Concert Sounds Cool, But Needs More Classics
    One of the nice things about moving to New York City in 2023 is that I live in a place where cool things happen. So I’ve been going to more video game concerts, which were much more difficult to get to when I lived in the boonies. If you’ve never bee
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