Computex 2025 has concluded after a four-day event at Taipei's Nangang Exhibition Halls, drawing 86,521 buyers from 152 countries, including Japan, the USA, South Korea, Vietnam, and India. The event, themed "AI Next", highlighted avdancements in AI, robotics, next-gen tech, and future mobility, positioning Taiwan as a key player in the global tech supply chain. The exhibition showcased innovations from major Taiwanese companies. Pegatron displayed biometric robot dogs and VR devices, emphasizing human-machine integration. BenQ presented an AI-powered golf simulator with real-time swing feedback through visual tracing and motion sensing. Advantech and Solomon exhibited autonomous mobile robots, collaborative robotic arms, and AIoT platforms, underscoring Taiwan's expertise in intelligent manufacturing. A Smart Mobility Pavilion, organized by TADA, featured 19 brands, including Pegatron and OToBrite, focusing on electric and intelligent vehicle technologies. InnoVEX, the startup segment marking its 10th year, grew by 12.5% compared to 2024, hosting 450 startups from 24 countries. New national pavilions from Thailand and the Philippines included 22 startups. The InnoVEX Forum featured speakers from AWS, Google Cloud, NVIDIA, Qualcomm, Solomon, and Advantech, discussing AI’s role in digital transformation. Taiwan’s DeepRad.AI won the Pitch Contest for its AI-based medical imaging technology aimed at early disease detection.Recommended by Our Editors Keynote speeches included NVIDIA’s Jensen Huang, Qualcomm’s Cristiano Amon, Foxconn’s Young Liu, MediaTek’s Dr. Rick Tsai, and NXP’s Jens Hinrichsen, who highlighted Taiwan’s central role in the AI ecosystem. The COMPUTEX Forum, themed “AI in Action,” attracted over 1,300 attendees and featured 13 industry leaders from companies like Intel, Arm, and Google DeepMind, discussing AI applications and market trends. Sustainability was a key focus, with Pegatron winning the Gold Award in the Sustainable Design category, followed by ASUS (Silver) and Lite-On (Bronze). Cross-industry collaborations included a co-branded merchandise line by plain-me and Kuai Kuai, and a Hospitality Lounge hosted by Taiwan Stock Exchange Corporation and GQ Taiwan, blending capital markets with lifestyle elements. COMPUTEX 2026 is scheduled for June 2–5 and will expand to include TWTC Hall 1 alongside Nangang Exhibition Halls, aiming to create a dedicated AI-powered tech lifestyle ecosystem.

Pegatron unveiled a 128-GPU rack-scale system based on AMD’s Instinct MI350X at Computex, offering up to 1,177 PFLOPs of FP4 compute and 36.8TB of HBM3E memory for AI workloads.

President Donald Trump threatened Apple with a tariff of at least 25% if it does not manufacture its iPhones in the US, ramping up pressure on the tech giant to secure more domestic production.“I have long ago informed Tim Cook of Apple that I expect their iPhone's that will be sold in the United States of America will be manufactured and built in the United States, not India, or anyplace else,” Trump said in a post on Truth Social on Friday. “If that is not the case, a Tariff of at least 25 percent must be paid by Apple to the US”US equity futures dropped to session lows on Trump's announcement and his threat to impose a 50 percent tariff on goods from the European Union starting on June 1. Nasdaq 100 contracts led the decline, while Apple shares were down as much as four percent in pre-market trading.The president's demands for US-based manufacturing pose a stark challenge to the company, whose supply chains for its popular phones have been concentrated in China for years. The US lacks the rich ecosystem of Apple suppliers, manufacturing and engineering know-how that — for now — can only be found in Asia.Apple, which has become a frequent Trump target, didn't immediately respond to a request for comment on the president's threat. Earlier this month, the company warned that it would face $900 million (roughly Rs. 7,674 crore) in higher costs from tariffs in the current quarter. Last week, during his trip to the Middle East, Trump said he had asked Apple Chief Executive Officer Tim Cook to stop building plants in India to make devices for the US, pushing the iPhone maker to add domestic production as it pivots away from China.“I had a little problem with Tim Cook yesterday,” Trump said of his conversation. “He is building all over India. I don't want you building in India.”  Apple said earlier this year that it plans to spend $500 billion (roughly Rs. 42,63,505 crore) in the US over the next four years, which will include work on a new server manufacturing facility in Houston, a supplier academy in Michigan and additional spending with its existing suppliers in the country.But that stops short of the full shift to US-based production envisioned by Trump. Moving manufacturing of its signature iPhone and other devices to the US would be an enormous undertaking for the Cupertino, California-based company. Apple's biggest FATP facilities — short for final assembly, test and pack-out — are massive and incomprehensible to many people outside of Asia. They are almost towns themselves, with several hundred thousand people, schools, gyms, medical facilities and dormitories. One major iPhone factory, a complex in Zhengzhou, has even been dubbed iPhone City.Development of new iPhones and other products still starts at Apple's labs in Silicon Valley. But working with Asia-based component suppliers and other partners begins long before a product actually hits the market. Apple engineers and operations experts spend months or years working closely with Foxconn Technology Group, Pegatron Corp. and other suppliers to customise assembly of new devices.One popular counterpoint is that Apple should use its cash hoard to buy thousands of acres in the US and create a fully robotic and automated iPhone manufacturing facility. That would remove any human-related challenges from the manufacturing process, but supply chain experts say that is not realistic due to frequently changing demands. Also, much of the manufacturing equipment is made in China. Escalating pressure on Apple in recent weeks marks a change from the president's first term, when Cook had leveraged a personal relationship with Trump to win tariff carveouts for Apple products. For investors on Wall Street, it signals the uncertainty surrounding the impact of Trump's trade policy on one of the world's most valuable companies. “It's a red flag for me that Trump continues to single out Apple and seems to have something against them,” said Randy Hare, director of equity research at Huntington National Bank. “It doesn't mean that Trump is going to do anything more, but you can't predict what's going to happen, and that makes me cautious.”Cook was one of several Big Tech executives and billionaires who attempted to court Trump following his comeback election victory in November. The Apple CEO had traveled to Trump's Mar-a-Lago estate in Florida for a series of private meetings and dinners. He also sat behind the president at the inauguration in January along with Elon Musk, Google's Sundar Pichai, Meta Platforms' Mark Zuckerberg and Amazon.com Founder Jeff Bezos.© Thomson Reuters 2025(This story has not been edited by NDTV staff and is auto-generated from a syndicated feed.) For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: Apple, iPhones, US, Donald Trump, Tariff Related Stories

NVIDIA and Taiwan’s manufacturing ecosystem, including Delta Electronics, Foxconn, TSMC and Wistron, are showcasing this week at COMPUTEX in Taipei the crucial role digital twins play in accelerating industrial AI. These electronics, semiconductor and robotics manufacturing leaders are using Universal Scene Description (OpenUSD) and NVIDIA Omniverse libraries and blueprints to develop physically based digital twins. This is transforming factory planning by unlocking new operational efficiencies and accelerating the development, testing and validation of autonomous robots and robotic fleets. Many of these manufacturers are also extending the digitalization of their factories to the real world, using the NVIDIA AI Blueprint for video search and summarization (VSS) — now generally available and part of the NVIDIA Metropolis platform — to deploy video analytics AI agents into their operations and drive additional automation and optimizations in defect detection and other operations. Taiwan Manufacturers Optimize Planning and Operations With Simulation and AI Agents  Taiwan’s leading electronics and semiconductor manufacturers are using digital twins, physically based simulation and AI agents to optimize existing operations and vastly accelerate the planning and commissioning of new factories. Foxconn is leading the way. At its Taiwan facilities, Foxconn engineers rely on the Fii Digital Twin platform, developed with OpenUSD, Siemens and Omniverse technologies, to design and simulate robot work cells, assembly lines and entire factory layouts. These digital twins connect to material control systems and use Autodesk Flexsim, NVIDIA cuOpt and NVIDIA Isaac Sim to enable engineers to simulate and dynamically optimize the flow of materials, equipment, autonomous mobile robots (AMRs), automated guided vehicles, and other robots and humans. By developing a standard digital twin model for their factories, Foxconn can quickly migrate and easily reconfigure its designs and plans for new factory deployments. Foxconn is using the NVIDIA Isaac GR00T N1 model, the NVIDIA Isaac GR00T-Mimic blueprint for synthetic manipulation motion generation and NVIDIA Isaac Lab to train industrial manipulator arms and humanoid robots for performing complex tasks such as screw-tightening, pick and place, assembly and cable insertion. Foxconn robotics developers use the Mega NVIDIA Omniverse Blueprint to simulate and test large robotic fleets comprising AMRs, manipulators and humanoid robots before deploying them in facilities. To accelerate analysis and decision-making, Foxconn engineers use their digital twin platform to conduct thermal assessments of POD rooms across different scenarios. By connecting their digital twins to the Cadence Reality Digital Twin Platform and integrating NVIDIA PhysicsNeMo frameworks, teams can conduct thermal simulations 150x faster, reduce thermal risks and identify energy-saving opportunities. Using the Omniverse Blueprint for AI factory digital twins, Foxconn can simulate and test GB200 Grace Blackwell Superchips in liquid-cooled PODs to replicate the conditions of an AI factory. Credit: Foxconn The company is also deploying video analytics AI agents using the VSS blueprint from NVIDIA Metropolis for real-time video analysis and insights in live production scenarios. TSMC is collaborating with an AI-powered digital twins startup to optimize the planning and construction of its new fabs. TSMC taps into an AI engine and applications built with Omniverse libraries to transform traditional 2D computer-aided designs into rich, interactive 3D layouts of their complex facilities, including specialized areas like clean rooms. Credit: TSMC Visualizing these optimized layouts in a digital twin allows planning teams to proactively identify and resolve equipment collisions, understand system interdependencies, and assess impacts on space and operational key performance indicators. This AI-driven approach is enhanced by NVIDIA cuOpt for optimization and reinforcement learning with NVIDIA Isaac Lab, enabling the generation of intricate, multilevel piping systems in seconds — a task that traditionally requires substantial time and effort. This enables engineers to virtually validate complex pipe routing and drastically reduce design revisions, ultimately streamlining the entire fab development process. TSMC also uses vision language models and vision foundation models to improve automated defect classification workflows — boosting efficiency to classify wafer product defects for engineers to pinpoint potential root causes for the issues. Beyond the use of digital twins and vision AI, TSMC also taps into NVIDIA CUDA-X software libraries and NVIDIA GPUs to accelerate its entire semiconductor chip design workflow — from lithography with NVIDIA cuLitho to semiconductor process simulation. Wistron teams drive operational efficiencies, optimize layout planning of their plants, and train robots and workers with the Wistron Digital Twin (WiDT) platform. The platform is powered by software from Autodesk, Cadence and Microsoft and taps into NVIDIA AI and Omniverse libraries. By connecting the WiDT platform to generative AI tools and real-time data from surface mount technology machines and shopfloor control systems, operations teams can visualize real-time dashboards to quickly diagnose and improve machine and plant performance. Wistron robotics developers use the platform, and its integration with NVIDIA Isaac Sim, to simulate and test robotic arms. With a simulation-first approach, teams reduced the time needed for each arm to assemble parts on the production line by 12 seconds. Credit: Wistron The Wistron digital twin platform also uses the VSS blueprint to create and curate training videos for teaching workers how to perform and manage complex tasks and scenarios. The platform uses NVIDIA Cosmos Tokenizer to help teams analyze and break down worker actions on the production line and improve standard operating procedures. This approach is enabling Wistron to accelerate onboarding, improve worker productivity and ensure safety. Wiwynn uses AI-enabled digital twins built with Omniverse technologies to optimize factory layouts, simulate production, integrate cobots and enhance quality control through improved inspection and analysis. These solutions have driven significant manufacturing and logistics innovation and efficiencies. Pegatron’s PEGAVERSE and PEGAAi platforms equip engineers and factory managers with digital twins that support many use cases, including factory planning, predictive maintenance, process optimization, resource planning, remote monitoring and quality control. Teams also use the platforms to build visual AI agents to help workers perfect complex assembly tasks. These AI agents, developed with the NVIDIA AI Blueprint for VSS and NVIDIA Metropolis, have enabled Pegatron to augment assembly processes, reduce labor costs by 7% and decrease assembly line defect rates by 67%. Kenmec and MetAI are using Omniverse technologies and the Mega NVIDIA Omniverse Blueprint to build physically accurate digital twins for simulating, testing and deploying warehouse automation solutions. Together, the teams virtualized the entire Chief Smart Logistics Center, creating a full-fidelity simulation environment that brings together physical dynamics, real-time controller logic, AI-driven testing and optimization — all within a simulated environment. GIGABYTE operations teams are using digital twins developed with Omniverse libraries and connected to live IoT data from the manufacturing floor to improve operational monitoring of production systems. By visually flagging anomalies, including equipment issues and delays, the digital twins help teams quickly identify issues, conduct root cause analysis and take corrective actions. Quanta Cloud Technology engineering, operations and logistics teams collaborate using digital twin solutions built with Omniverse to accelerate factory planning. Digital twins provide these cross-functional teams with access to the latest design data, enabling them to provide immediate feedback on proposed layouts, which leads to optimized workflows and improved space utilization. Teams can further extend collaboration sessions to external customers and suppliers so they can remotely contribute to design reviews and validation. Credit: Quanta Manufacturers Embrace Digital Twins to Accelerate Robotics Development In addition to creating the future in manufacturing, Taiwan manufacturers are using digital twins, powered by Omniverse libraries and blueprints, to develop the next wave of AI-enabled robots. Delta Electronics is using Isaac Sim to optimize electronic component production and to simulate, train and validate its entire range of industrial robots — from AMRs to industrial manipulators. Credit: Delta Electronics The company is transforming its expertise into a service by designing a cyber-physical integrated classroom to be launched soon in Taiwan, where customers learn to use the DIATwin platform to simulate and integrate Delta’s industrial equipment and robots to ensure a more effective implementation into their own production lines. Credit: Techman Robot Techman Robot is advancing intelligent automation at Volkswagen’s Transparent Factory. Using Isaac Sim, Techman’s AI Cobots learn to operate on GESSbot AMRs in physically accurate simulations to perform real-time assembly, inspection and adaptive manipulation tasks with precision. By simulating robot behavior and workflows virtually, Techman Robot has reduced the time to program robots by 70% and improved robot productivity by 20%. Credit: Foxlink Foxlink is using the Isaac GR00T N1 model to add generalized intelligence and autonomy to its industrial robots used in manufacturing facilities. Solomon’s AI vision solution, powered by NVIDIA Isaac Manipulator CUDA-X acceleration libraries, is helping Inventec significantly accelerate its robotic server inspection process by boosting complex motion planning speed by up to 8x and reducing errors by 50%. Kudan is integrating its Visual SLAM technology with Isaac Perceptor CUDA-X acceleration libraries into NexAIoT’s AMR, NexMOV-2. This integration uses advanced 3D perception and navigation, enabling them to navigate complex, unstructured environments such as manufacturing, logistics and healthcare facilities with greater precision and reliability. MSI is powering its industrial robots with the NVIDIA Jetson AGX Orin module to perform a variety of tasks, from pick-and-place and material handling to delivering payloads inside large warehouses and facilities. Credit: Adata In healthcare, Adata and Advantech are jointly using Isaac Sim, Isaac Perceptor and Jetson Orin to develop AMRs for disinfecting hospitals. This collaboration has reduced deployment time by 70% and made the disinfection process 3x faster. Ubitus is also using the Isaac platform to train G1 humanoid robots to deliver medical checkup materials and specimens, helping alleviate labor shortages in hospitals. Learn more by watching the COMPUTEX keynote from NVIDIA founder and CEO Jensen Huang and attending sessions at NVIDIA GTC Taipei, running through May 22. See notice regarding software product information. Featured image courtesy of Quanta (top left), Wistron (top right), Foxconn (bottom left), Pegatron (bottom right).

The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for enterprises across industries, it is one of the largest and most ubiquitous data sources in the world. Yet less than 1% of it is analyzed for insights. Nearly half of global GDP comes from physical industries — spanning energy to automotive and electronics. With labor shortage concerns, manufacturing onshoring efforts and rising demand for automation, video analytics AI agents will play a more critical role than ever, helping bridge the physical and digital worlds. To accelerate the development of these agents, NVIDIA today is making the AI Blueprint for video search and summarization (VSS), powered by the NVIDIA Metropolis platform, generally available — giving developers the tools to create and deploy highly capable AI agents for analyzing vast sums of real-time and archived videos. A wave of vision AI agents and productivity assistants powered by vision language models (VLMs) are coming online. Combining powerful computer vision models with the skills of super intelligent large language models (LLMs), these video analytics AI agents allow enterprises to easily see, search and summarize huge volumes of video. By analyzing videos in real time or reviewing terabytes of recorded video, video analytics AI agents are unlocking unprecedented value and opportunities across a range of important industries. Manufacturers and warehouses are using AI agents to help increase worker safety and productivity. For example, agents can help distribute forklifts and position workers for optimal efficiency. Smart cities are deploying video analytics AI agents to reduce traffic congestion and increase safety, and the uses go on and on. A Blueprint to Create Diverse Fleets of Video Analytics AI Agents The VSS blueprint is built on top of the NVIDIA Metropolis platform and boosted by VLMs and LLMs such as NVIDIA VILA and NVIDIA Llama Nemotron, NVIDIA NeMo Retriever microservices, and retrieval-augmented generation (RAG) — a technique that connects LLMs to a company’s enterprise data. The VSS blueprint incorporates the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices for VLMs, LLMs and advanced AI frameworks for RAG. With the VSS blueprint, users can summarize a video 100x faster than watching in real time. For example, an hourlong video can be summarized in text in less than one minute. The VSS blueprint offers a host of powerful features designed to provide robust video understanding, performance and scalability. This release introduces expanded hardware support, including the ability to deploy on a single NVIDIA A100 or H100 GPU for smaller workloads, offering greater flexibility in resource allocation. The blueprint can also be deployed at the edge on the NVIDIA RTX 6000 PRO and NVIDIA DGX Spark computing platforms. The VSS blueprint can process hundreds of live video streams or burst clips simultaneously. In addition to visual understanding, it offers audio transcription. Converting speech to text adds contextual depth in scenarios where audio is critical — such as training videos, keynotes or team meetings. Industry Leaders Deploy Video Analytics AI Agents to Drive Business Value Everyone from the world’s leading manufacturers to smart cities and sports leagues are using the VSS blueprint to develop AI agents for optimizing operations. Pegatron, a leading electronics manufacturing company, uses the VSS blueprint to study operating procedures and train employees on best practices. The company is also integrating the blueprint into its PEGAAi platform so organizations can build AI agents to transform manufacturing processes. These agents can ingest and analyze massive volumes of video, enabling advanced capabilities like automated monitoring, anomaly detection, video search and incident reporting. Pegatron’s Visual Analytics Agent can be used to understand operating procedures for printed circuit board assembly and identify when actions are correct or incorrect. To date, the agents have reduced Pegatron’s labor costs by 7% and defect rates by 67%. Additional leading Taiwanese semiconductor and electronics manufacturers are building AI agents and digital twins to optimize their planning and operational applications. Kaohsiung City, Taiwan, is using a unified smart city vision AI application developed by its partner, Linker Vision, to improve incident response times. Previously, city departments such as waste management, transportation and emergency response were isolated by siloed infrastructure — leading to slow response times due to lack of access to critical information. Powered by the VSS blueprint, Linker Vision’s AI-powered application has agents that combine real-time video analytics with generative AI to not just detect visual elements but also understand and narrate complex urban events like floods or traffic accidents. Linker Vision currently delivers timely insights to 12 city departments and is on track to scale from 30,000 city cameras to over 50,000 by 2026. These insights are providing improved situational awareness and data-driven decision-making across city services, and reducing incident response times by up to 80%. The National Hockey League used the VAST InsightEngine with the VSS blueprint to streamline and accelerate vision AI workflows. It manages massive volumes of game footage. With the VAST InsightEngine, the NHL is positioned to search through petabytes of video in sub-seconds, enabling near-instant retrieval of highlights and in-game moments. AI-driven agentic workflows further enhance content creation by automatically clipping, tagging and assembling video content for ease of access and use. In the future, the League could potentially use real-time AI reasoning to enable tailored insights — such as player stats, strategy analyses or fantasy recommendations — generated dynamically during live games. This end-to-end automation could transform how media is created, curated and delivered, setting a new standard for AI-driven sports content production. Siemens is using its Industrial Copilot for Operations to assist factory floor workers with equipment maintenance tasks, error handling and performance optimization. This generative AI-powered assistant offers real-time answers to equipment errors using information about operational and document data. The copilot was built with a fusion of VSS components like VLMs, LLMs and NVIDIA NeMo microservices. The Industrial Copilot has resulted in rapid decision-making and reduced machine downtime. Siemens has reported a 30% increase in productivity, with the potential to reach 50%. Supported by an Expanding Partner Ecosystem Creating Sophisticated AI Agents NVIDIA partners are using the VSS blueprint to expedite the creation of agentic AI video analytics capabilities for their workflows, reducing development time from months to weeks. Superb AI, a leader in intelligent video analytics, set up a sophisticated airport operations project at Incheon Airport to reduce passenger wait times in a matter of weeks. In Malaysia, solution provider ITMAX is building advanced visual AI agents with the VSS blueprint for the City of Kuala Lumpur to improve overall city management and reduce incident response times. In the advertising sector, PYLER integrated the VSS blueprint into its brand safety (AiD) and ad targeting (AiM) solutions in just a few weeks. Using AiD and AiM, Samsung Electronics increased advertising effectiveness with brand- and product-aligned, high-value ad placements. BYD saw its ad-click through rates increase 4x by targeting contextually relevant and positive content, while Hana Financial Group surpassed multiple brand campaign goals. Fingermark is the application provider of Eyecue, a real-time computer vision platform used by quick service restaurants. Fingermark is adding the VSS blueprint into Eyecue to turn video footage into clear, actionable insights regarding drive-thru wait times, service bottlenecks and staff-related incidents at scale. Try the VSS blueprint on build.nvidia.com and read this technical blog for more details. Watch the COMPUTEX keynote from NVIDIA founder and CEO Jensen Huang, as well as NVIDIA GTC Taipei 2025 sessions.

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech Mobile Foxconn Pours $1.5 Billion Into India As Apple Quietly Prepares To Shift iPhone Production Away From China Amid Growing U.S. Tariff Pressures And Supply Chain Challenges Ali Salman • May 20, 2025 at 12:01am EDT Apple has been dealing with a tariff situation imposed by the Trump administration in recent days, and it has stirred up the company's supply chain to a greater degree. While the company is seeking amendments in the percentages, Chinese suppliers have taken the most hit with a massive 125 percent reciprocal tax. The U.S. government wants Apple to move production of its products to the United States, which is one of the reasons why a hefty tax was put in place. It is now being reported that the iPhone manufacturer Foxconn has invested a massive $1.5 billion into India to bolster production away from China. Apple is shifting iPhone production to India as Foxconn invests $1.5 billion amid rising tariffs on China Bloomberg reports that in order to move production away from China, the iPhone manufacturer has invested a whopping $1.5 billion in India. Foxconn has been actively expanding its production facilities for iPhone manufacturing, and the investment was seen in a stock exchange filing. In an attempt to move away from China, the supplier is also expanding its footprint in the United States. Apple is forced to move its production away from China with heavy import taxes right around the curb, and Foxconn's decision to move its production could be extremely important for what's to come. Even though the U.S. government has imposed a tax on imports from China, India also faces the same fate. However, the taxes on imports from India are far less than those of China, making it an emerging market for suppliers to step in and set a footing in the region. Apple has already begun iPhone manufacturing in India, with the company assembling over $22 billion worth of units in the region in the last 12 months. The number was 60 percent higher than the previous year, which only goes on to show that the company is heavily invested in increasing its presence on Indian soil. Foxconn is not the only manufacturer to have secured a spot in India, but Tata Electronics and Pegatron also operate their facilities in the region for iPhone manufacturing. By 2026, Apple aims to manufacture most of the iPhones in India that will be sold in the United States. However, the higher-end iPhone models that are slated to launch this year or the next are expected to be manufactured in China due to a more complex design. Moreover, China has the upper hand when it comes to manufacturing technology and Apple would not risk it for its 20th anniversary iPhone. It remains to be seen when Apple will completely ship away from China for iPhone manufacturing. Subscribe to get an everyday digest of the latest technology news in your inbox Follow us on Topics Sections Company Some posts on wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com © 2025 WCCF TECH INC. 700 - 401 West Georgia Street, Vancouver, BC, Canada

Electricity. The Internet. Now it’s time for another major technology, AI, to sweep the globe. NVIDIA founder and CEO Jensen Huang took the stage at a packed Taipei Music Center Monday to kick off COMPUTEX 2025, captivating the audience of more than 4,000 with a vision for a technology revolution that will sweep every country, every industry and every company. “AI is now infrastructure, and this infrastructure, just like the internet, just like electricity, needs factories,” Huang said. “These factories are essentially what we build today.” “They’re not data centers of the past,” Huang added. “These AI data centers, if you will, are improperly described. They are, in fact, AI factories. You apply energy to it, and it produces something incredibly valuable, and these things are called tokens.” NVIDIA CUDA-X Everywhere: After showing a towering wall of partner logos, Huang described how companies are using NVIDIA’s CUDA-X platform for a dizzying array of applications, how NVIDIA and its partners are building 6G using AI, and revealed NVIDIA’s latest work to accelerate quantum supercomputing. “The larger the install base, the more developers want to create libraries, the more libraries, the more amazing things are done,” Huang said, describing CUDA-X’s growing popularity and power. “Better applications, more benefits to users.” More’s coming, Huang said, describing the growing power of AI to reason and perceive. That leads us to agentic AI — AI able to understand, think and act. Beyond that is physical AI — AI that understands the world. The phase after that, he said, is general robotics. All of this has created demand for much more computing power. To meet those needs, Huang detailed the latest NVIDIA innovations from Grace Blackwell NVL72 systems to advanced networking technology, and detailed huge new AI installations from CoreWeave, Oracle, Microsoft, xAI and others across the globe. “These are gigantic factory investments, and the reason why people build factories is because you know, you know the answer,” Huang said with a grin. “The more you buy, the more you make.” Building AI for Taiwan: It all starts in Taiwan, Huang said, highlighting the key role Taiwan plays in the global technology ecosystem. But Taiwan isn’t just building AI for the world; NVIDIA is helping build AI for Taiwan. Huang announced that NVIDIA and Foxconn Hon Hai Technology Group are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries – including TSMC. “Having a world-class AI infrastructure here in Taiwan is really important,” Huang said. NVIDIA NVLink Fusion: And moving to help its partners scale up their systems however they choose, Huang announced NVLink Fusion, a new architecture that enables hyperscalers to create semi-custom compute solutions with NVIDIA’s NVLink interconnect. This technology aims to break down traditional data center bottlenecks, enabling a new level of AI scale and more flexible, optimized system designs tailored to specific AI workloads. “This incredible body of work now becomes flexible and open for anybody to integrate into,” Huang said. Blackwell Everywhere: And the engine now powering this entire AI ecosystem is NVIDIA Blackwell, with Huang showing a slide explaining how NVIDIA offers “one architecture,” from cloud AI to enterprise AI, from personal AI to edge AI. DGX Spark: Now in full production, this personal AI supercomputer for developers will be available in a “few weeks.” DGX Spark partners include ASUS, Dell, Gigabyte, Lenovo and MSI. DGX Station: DGX Station is a powerful system with up to 20 petaflops of performance powered from a wall socket. Huang said it has the capacity to run a 1 trillion parameter model, which is like having your “own personal DGX supercomputer.” NVIDIA RTX PRO Servers: Huang also announced a new line of enterprise servers for agentic AI. NVIDIA RTX PRO Servers, part of a new NVIDIA Enterprise AI Factory validated design, are now in volume production. Delivering universal acceleration for AI, design, engineering and business, RTX PRO Servers provide a foundation for NVIDIA partners to build and operate on-premises AI factories. NVIDIA AI Data Platform: The compute platform is different, so the storage platform for modern AI is different. To that end, Huang showcased the latest NVIDIA partners building intelligent storage infrastructure with NVIDIA RTX 6000 PRO Blackwell Server Edition GPUs and the NVIDIA AI Data Platform reference design. Physical AI: Agents are “essentially digital robots,” Huang said, able to “perceive, understand and plan.” To speed up the development of physical robots, the industry needs to train robots in a simulated environment. Huang said that NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. Huang introduced new tools to speed the development of humanoid robots: The Isaac GR00T-Dreams blueprint will help generate synthetic training data. And the Isaac GR00T N1.5 Humanoid Robot Foundation Model will power robotic intelligence. Industrial Physical AI: Huang said that companies are in the process of building $5 trillion worth of factories worldwide. Optimizing the design of those factories is critical to boosting their output. Taiwan’s leading manufacturers — TSMC, Foxconn, Wistron, Pegatron, Delta Electronics, Quanta, GIGABYTE and others — are harnessing NVIDIA Omniverse to build digital twins to drive the next wave of industrial physical AI for semiconductor and electronics manufacturing. NVIDIA Constellation: Lastly, building anticipation, Huang introduced a dramatic video showing NVIDIA’s Santa Clara office launching into space and landing in Taiwan. The big reveal: NVIDIA Constellation, a brand new Taiwan office for NVIDIA’s growing Taiwan workforce. In closing, Huang emphasized that the work Taiwanese companies are doing has changed the world. He thanked NVIDIA’s ecosystem partners and described the industry’s opportunity as “extraordinary” and “once in a lifetime.” “We are in fact creating a whole new industry to support AI factories, AI agents, and robotics, with one architecture,” Huang said.

President Donald Trump has asked Apple CEO Tim Cook to halt the company's manufacturing expansion in India, in a potential disruption of Apple's plan to shift iPhone production away from China. "I had a little problem with Tim Cook yesterday," Trump said during his state visit to Qatar, according to Bloomberg. "He is building all over India." "They [India] have offered us a deal where basically they have agreed to charge us literally no tariffs. I said 'Tim, we are treating you really good, we put up with all the plants you built in China for years. We are not interested in you building in India. India can take care of themselves'." Trump claimed that following their discussion, Apple will be "upping their production in the United States." In the fiscal year ending March, Apple's iPhone production in India reached $22 billion, a nearly 60% increase compared to the previous year. However, Trump's comments complicate Apple's strategy to import most US-bound iPhones from India by the end of next year. Apple and its manufacturing partners have accelerated their movement away from China in recent months. The trend began after COVID restrictions disrupted operations, and has only accelerated amid ongoing US-China tensions, particularly in the wake of Trump's on-again, off-again tariffs. Most India-manufactured iPhones are assembled at Foxconn's factory in the southern part of the country. Tata Group's electronics manufacturing arm, which acquired Wistron's local business and manages Pegatron's operations in India, is another major supplier. When asked about the supply chain's future during the company's recent earnings call, Cook said: "What we learned some time ago, having everything in one location had too much risk with it. We have, over time, with certain parts of the supply chain, opened up new sources of supply. You could see that kind of thing continuing in the future." During the same earnings call, Cook highlighted Apple's impact in the United States, including plans to spend $500 billion over the next four years and expanding facilities in several states. A new factory for advanced server manufacturing in Texas is scheduled to open later this year. Note: Due to the political or social nature of the discussion regarding this topic, the discussion thread is located in our Political News forum. All forum members and site visitors are welcome to read and follow the thread, but posting is limited to forum members with at least 100 posts. Tags: India, Tim Cook