Ubisoft has announced that XDefiant will shut down on June 3, 2025. Additionally, Ubisoft is closing down its office in Osaka, Japan, as well as San Francisco.Ubisoft explained that starting today, December 3, further downloads, player registrations, and purchases of XDefiant are no longer available. However, XDefiant's third season will continue as planned and the game will be playable until the shutdown date."Today, Ubisoft announced that it will discontinue development on XDefiant, its free-to-play first-person shooter title. As a result, half of the XDefiant team worldwide will be transitioning to other roles within Ubisoft," Ubisoft said in a statement to GameSpot.Continue Reading at GameSpot

Interstellar 10th Anniversary Limited Edition Box Set (4K Blu-ray) $53 (was $68) | Releases December 10 Preorder at Amazon Christopher Nolan's sci-fi epic Interstellar is celebrating its 10th anniversary in style with the release of a new collector's edition on December 10. Interstellar 10th Anniversary Limited Edition quickly sold out when it went up for preorder in October, but Amazon just restocked this very cool-looking collector's edition ahead of next week's release. Better yet, Amazon is now offering a nice discount that drops the price from $68 down to $53.Interstellar's 10th Anniversary Limited Edition comes in an oversized box with numerous physical collectibles, and there's even a brand-new special feature.Continue Reading at GameSpot

The armies of Hell are calling to players in Halls Of Torment, as gamers are tasked with surviving for 30 minutes against legions of the undead and undesirable in a number of horrifying locations. The game features a simple premise and very user-friendly mechanics to make it an easy title to get engrossed in for hours on end.

A Fallout 76 player has recreated the male playable protagonist from Fallout 4 in the game. The impressive recreation has drawn attention from a lot of fans of the series, with Fallout 76 players offering some advice on how the character can look even better.

I have a game I'd like to do for the Wii and was hoping just maybe someone here might know something about it. I know it's a long shot but had to try

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Expanding whats possible for developers and enterprises in the cloud, NVIDIA and Amazon Web Services are converging at AWS re:Invent in Las Vegas this week to showcase new solutions designed to accelerate AI and robotics breakthroughs and simplify research in quantum computing development.AWS re:Invent is a conference for the global cloud-computing community packed with keynotes and more than 2,000 technical sessions.Announcement highlights include the availability of NVIDIA DGX Cloud on AWS and enhanced AI, quantum computing and robotics tools.NVIDIA DGX Cloud on AWS for AI at ScaleThe NVIDIA DGX Cloud AI computing platform is now available through AWS Marketplace Private Offers, offering a high-performance, fully managed solution for enterprises to train and customize AI models.DGX Cloud offers flexible terms, a fully managed and optimized platform, and direct access to NVIDIA experts to help businesses scale their AI capabilities quickly.Early adopter Leonardo.ai, part of the Canva family, is already using DGX Cloud on AWS to develop advanced design tools.AWS Liquid-Cooled Data Centers With NVIDIA BlackwellNewer AI servers benefit from liquid cooling to cool high-density compute chips more efficiently for better performance and energy efficiency. AWS has developed solutions that provide configurable liquid-to-chip cooling across its data centers.The cooling solution announced today will seamlessly integrate air- and liquid-cooling capabilities for the most powerful rack-scale AI supercomputing systems like NVIDIA GB200 NVL72, as well as AWS network switches and storage servers.This flexible, multimodal cooling design provides maximum performance and efficiency for running AI models and will be used for the next-generation NVIDIA Blackwell platform.Blackwell will be the foundation of Amazon EC2 P6 instances, DGX Cloud on AWS and Project Ceiba.NVIDIA Advances Physical AI With Accelerated Robotics Simulation on AWSNVIDIA is also expanding the reach of NVIDIA Omniverse on AWS with NVIDIA Isaac Sim, now running on high-performance Amazon EC2 G6e instances accelerated by NVIDIA L40S GPUs.Available now, this reference application built on NVIDIA Omniverse enables developers to simulate and test AI-driven robots in physically based virtual environments.One of the many workflows enabled by Isaac Sim is synthetic data generation. This pipeline is now further accelerated with the infusion of OpenUSD NIM microservices, from scene creation to data augmentation.Robotics companies such as Aescape, Cohesive Robotics, Cobot, Field AI, Standard Bots, Swiss Mile and Vention are using Isaac Sim to simulate and validate the performance of their robots prior to deployment.In addition, Rendered.ai, SoftServe and Tata Consultancy Services are using the synthetic data generation capabilities of Omniverse Replicator and Isaac Sim to bootstrap perception AI models that power various robotics applications.NVIDIA BioNeMo on AWS for Advanced AI-Based Drug DiscoveryNVIDIA BioNeMo NIM microservices and AI Blueprints, developed to advance drug discovery, are now integrated into AWS HealthOmics, a fully managed biological data compute and storage service designed to accelerate scientific breakthroughs in clinical diagnostics and drug discovery.This collaboration gives researchers access to AI models and scalable cloud infrastructure tailored to drug discovery workflows. Several biotech companies already use NVIDIA BioNeMo on AWS to drive their research and development pipelines.For example, A-Alpha Bio, a biotechnology company based in Seattle, recently published a study in biorxiv describing a collaborative effort with NVIDIA and AWS to develop and deploy an antibody AI model called AlphaBind.Using AlphaBind via the BioNeMo framework on Amazon EC2 P5 instances equipped with NVIDIA H100 Tensor Core GPUs, A-Alpha Bio achieved a 12x increase in inference speed and processed over 108 million inference calls in two months.Additionally, SoftServe today launched Drug Discovery, its generative AI solution built with NVIDIA Blueprints, to enable computer-aided drug discovery and efficient drug development. This solution is set to deliver faster workflows and will soon be available in AWS Marketplace.Real-Time AI Blueprints: Ready-to-Deploy Options for Video, Cybersecurity and MoreNVIDIAs latest AI Blueprints are available for instant deployment on AWS, making real-time applications like vulnerability analysis for container security, and video search and summarization agents readily accessible.Developers can easily integrate these blueprints into existing workflows to speed deployments.Developers and enterprises can use the NVIDIA AI Blueprint for video search and summarization to build visual AI agents that can analyze real-time or archived videos to answer user questions, generate summaries and enable alerts for specific scenarios.AWS collaborated with NVIDIA to provide a reference architecture applying the NVIDIA AI Blueprint for vulnerability analysis to augment early security patching in continuous integration pipelines on AWS cloud-native services.NVIDIA CUDA-Q on Amazon Braket: Quantum Computing Made PracticalNVIDIA CUDA-Q is now integrated with Amazon Braket to streamline quantum computing development. CUDA-Q users can use Amazon Brakets quantum processors, while Braket users can tap CUDA-Qs GPU-accelerated workflows for development and simulation.The CUDA-Q platform allows developers to build hybrid quantum-classical applications and run them on many different types of quantum processors, simulated and physical.Now preinstalled on Amazon Braket, CUDA-Q provides a seamless development platform for hybrid quantum-classical applications, unlocking new potential in quantum research.Enterprise Platform Providers and Consulting Leaders Advance AI With NVIDIA on AWSLeading software platforms and global system integrators are helping enterprises rapidly scale generative AI applications built with NVIDIA AI on AWS to drive innovation across industries.Cloudera is using NVIDIA AI on AWS to enhance its new AI inference solution, helping Mercy Corps improve the precision and effectiveness of its aid distribution technology.Cohesity has integrated NVIDIA NeMo Retriever microservices in its generative AI-powered conversational search assistant, Cohesity Gaia, to improve the recall performance of retrieval-augmented generation. Cohesity customers running on AWS can take advantage of the NeMo Retriever integration within Gaia.DataStax announced that Wikimedia Deutschland is applying the DataStax AI Platform to make Wikidata available to developers as an embedded vectorized database. The Datastax AI Platform is built with NVIDIA NeMo Retriever and NIM microservices, and available on AWS.Deloittes C-Suite AI now supports NVIDIA AI Enterprise software, including NVIDIA NIM microservices and NVIDIA NeMo for CFO-specific use cases, including financial statement analysis, scenario modeling and market analysis.RAPIDS Quick Start Notebooks Now Available on Amazon EMR NVIDIA and AWS are also speeding data science and data analytics workloads with the RAPIDS Accelerator for Apache Spark, which accelerates analytics and machine learning workloads with no code change and reduces data processing costs by up to 80%.Quick Start notebooks for RAPIDS Accelerator for Apache Spark are now available on Amazon EMR, Amazon EC2 and Amazon EMR on EKS. These offer a simple way to qualify Spark jobs tuned to maximize the performance of RAPIDS on GPUs, all within AWS EMR.NVIDIA and AWS Power the Next Generation of Industrial Edge SystemsThe NVIDIA IGX Orin and Jetson Orin platforms now integrate seamlessly with AWS IoT Greengrass to streamline the deployment and running of AI models at the edge and to efficiently manage fleets of connected devices at scale. This combination enhances scalability and simplifies the deployment process for industrial and robotics applications.Developers can now tap into NVIDIAs advanced edge computing power with AWS purpose-built IoT services, creating a secure, scalable environment for autonomous machines and smart sensors. A guide for getting started, authored by AWS, is now available to support developers putting these capabilities to work.The integration underscores NVIDIAs work in advancing enterprise-ready industrial edge systems to enable rapid, intelligent operations in real-world applications.Catch more of NVIDIAs work at AWS: re:Invent 2024 through live demos, technical sessions and hands-on labs.See notice regarding software product information.

Field AI is building robot brains that enable robots to autonomously manage a wide range of industrial processes. Vention creates pretrained skills to ease development of robotic tasks. And Cobot offers Proxie, an AI-powered cobot designed to handle material movement and adapt to dynamic environments, working seamlessly alongside humans.These leading robotics startups are all making advances using NVIDIA Isaac Sim on Amazon Web Services. Isaac Sim is a reference application built on NVIDIA Omniverse for developers to simulate and test AI-driven robots in physically based virtual environments.NVIDIA announced at AWS re:Invent today that Isaac Sim now runs on Amazon Elastic Cloud Computing (EC2) G6e instances accelerated by NVIDIA L40S GPUs. And with NVIDIA OSMO, a cloud-native orchestration platform, developers can easily manage their complex robotics workflows across their AWS computing infrastructure.This combination of NVIDIA-accelerated hardware and software available on the cloud allows teams of any size to scale their physical AI workflows.Physical AI describes AI models that can understand and interact with the physical world. It embodies the next wave of autonomous machines and robots, such as self-driving cars, industrial manipulators, mobile robots, humanoids and even robot-run infrastructure like factories and warehouses.With physical AI, developers are embracing a three computer solution for training, simulation and inference to make breakthroughs.Yet physical AI for robotics systems requires robust training datasets to achieve precision inference in deployment. Developing such datasets, however, and testing them in real situations can be impractical and costly.Simulation offers an answer, as it can significantly accelerate the training, testing and deployment of AI-driven robots.Harnessing L40S GPUs in the Cloud to Scale Robotics Simulation and TrainingSimulation is used to verify, validate and optimize robot designs as well as the systems and their algorithms before deployment. Simulation can also optimize facility and system designs before construction or remodeling starts for maximum efficiencies, reducing costly manufacturing change orders.Amazon EC2 G6e instances accelerated by NVIDIA L40S GPUs provide a 2x performance gain over the prior architecture, while allowing the flexibility to scale as scene and simulation complexity grows. The instances are used to train many computer vision models that power AI-driven robots. This means the same instances can be extended for various tasks, from data generation to simulation to model training.Using NVIDIA OSMO in the cloud allows teams to orchestrate and scale complex robotics development workflows across distributed computing resources, whether on premises or in the AWS cloud.Isaac Sim provides access to the latest robotics simulation capabilities and the cloud, fostering collaboration. One of the critical workflows is generating synthetic data for perception model training.Using a reference workflow that combines NVIDIA Omniverse Replicator, a framework for building custom synthetic data generation (SDG) pipelines and a core extension of Isaac Sim, with NVIDIA NIM microservices, developers can build generative AI-enabled SDG pipelines.These include the USD Code NIM microservice for generating Python USD code and answering OpenUSD queries, and the USD Search NIM microservice for exploring OpenUSD assets using natural language or image inputs. The Edify 360 HDRi NIM microservice generates 360-degree environment maps, while the Edify 3D NIM microservice creates ready-to-edit 3D assets from text or image prompts. This eases the synthetic data generation process by reducing many tedious and manual steps, from asset creation to image augmentation, using the power of generative AI.Rendered.ais synthetic data engineering platform integrated with Omniverse Replicator enables companies to generate synthetic data for computer vision models used in industries from security and intelligence to manufacturing and agriculture.SoftServe, an IT consulting and digital services provider, uses Isaac Sim to generate synthetic data and validate robots used in vertical farming with Pfeifer & Langen, a leading European food producer.Tata Consultancy Services is building custom synthetic data generation pipelines to power its Mobility AI suite to address automotive and autonomous use cases by simulating real-world scenarios. Its applications include defect detection, end-of-line quality inspection and hazard avoidance.Learning to Be Robots in SimulationWhile Isaac Sim enables developers to test and validate robots in physically accurate simulation, Isaac Lab, an open-source robot learning framework built on Isaac Sim, provides a virtual playground for building robot policies that can run on AWS Batch.Because these simulations are repeatable, developers can easily troubleshoot and reduce the number of cycles required for validation and testing.Several robotics developers are embracing NVIDIA Isaac on AWS to develop physical AI, such as:Aescapes robots are able to provide precision-tailored massages by accurately modeling and tuning onboard sensors in Isaac Sim.Cobot has used Isaac Sim with its AI-powered cobot, Proxie, to optimize logistics in warehouses, hospitals, manufacturing sites, and more.Cohesive Robotics has integrated Isaac Sim into its software framework called Argus OS for developing and deploying robotic workcells used in high-mix manufacturing environments.Field AI, a builder of robot foundation models, uses Isaac Sim and Isaac Lab to evaluate the performance of its models in complex, unstructured environments across industries such as construction, manufacturing, oil and gas, mining and more.Standard Bots is simulating and validating the performance of its R01 robot used in manufacturing and machining setup.Swiss Mile is using Isaac Sim and Isaac Lab for robot learning so that wheeled quadruped robots can perform tasks autonomously with new levels of efficiency in factories and warehouses.Vention, which offers a full-stack cloud-based automation platform, is harnessing Isaac Sim for developing and testing new capabilities for robot cells used by small to medium-size manufacturers.Learn more about Isaac Sim 4.2, now available on Amazon EC2 G6e instances powered by NVIDIA L40S GPUs on AWS Marketplace.