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    Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets​on January 7, 2025 at 3:53 am

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    Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets​on January 7, 2025 at 3:53 am

    CES—NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA …CES—NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA …  

     

    CES—NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA accelerated computing and AI.

    Toyota, the world’s largest automaker, will build its next-generation vehicles on NVIDIA DRIVE AGX Orin™, running the safety-certified NVIDIA DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. 

    The majority of today’s auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on NVIDIA DRIVE AGX™ platform and technologies. With cutting-edge platforms spanning training in the cloud to simulation to compute in the car, NVIDIA’s automotive vertical business is expected to grow to approximately $5 billion in fiscal year 2026.

    “The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry.”

    Aurora, Continental and NVIDIA this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by NVIDIA DRIVE. NVIDIA’s accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027.

    Other mobility companies adopting NVIDIA DRIVE AGX for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more.

    NVIDIA offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. NVIDIA DRIVE AGX is the in-vehicle computer. NVIDIA DGX™ processes the data from the fleet and trains AI models, and NVIDIA Omniverse™ and NVIDIA Cosmos™ running on NVIDIA OVX™ systems test and validate self-driving systems in simulation.

    Learn more about NVIDIA’s automotive and safety milestones at CES by tuning in to Huang’s opening keynote.

     

    CES—NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA …

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    NVIDIA DRIVE Hyperion Platform Achieves Critical Automotive Safety and Cybersecurity Milestones for AV Development​on January 7, 2025 at 3:56 am

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    NVIDIA DRIVE Hyperion Platform Achieves Critical Automotive Safety and Cybersecurity Milestones for AV Development​on January 7, 2025 at 3:56 am

    NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s…NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s…  

     

    Adopted and Backed by Automotive Manufacturers and Safety Authorities, Latest Iteration to Feature DRIVE Thor on NVIDIA Blackwell Running NVIDIA DriveOS

    CES—NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s foremost authorities for automotive-grade safety and cybersecurity. This achievement raises the bar for AV safety, innovation and performance.

    DRIVE Hyperion™ is the industry’s first and only end-to-end autonomous driving platform. It includes the DRIVE AGX™ system-on-a-chip (SoC) and reference board design, the NVIDIA DriveOS automotive operating system, a sensor suite, and an active safety and level 2+ driving stack. 

    Automotive safety pioneers such as Mercedes-Benz, JLR and Volvo Cars are adopting the platform, which is designed to be modular, so customers can easily use what they need. It is also scalable and built to be upgradeable and compatible across future DRIVE SoC generations.

    Available in the first half of this year, the latest iteration of DRIVE Hyperion — designed for both passenger and commercial vehicles — will feature the high-performance DRIVE AGX Thor SoC built on the NVIDIA Blackwell architecture. 

    “A billion vehicles driving trillions of miles each year move the world. With autonomous vehicles — one of the largest robotics markets — now here, the NVIDIA Blackwell-powered platform will shift this revolution into high gear,” said Jensen Huang, founder and CEO of NVIDIA. “The next wave of autonomous machines will rely on physical AI world foundation models to understand and interact with the real world, and NVIDIA DRIVE is purpose-built for this new era, delivering unmatched functional safety and AI.”

    Driving Safety Forward: Certified Assurance for Next-Gen Vehicles

    Next-generation vehicles will be increasingly software-defined, capable of receiving new features and functionality over their lifetime. Tapping into NVIDIA’s 15,000 engineering years invested in vehicle safety, DRIVE Hyperion will help ensure advanced automotive systems with rich, AI-based functionalities are compliant with the automotive industry’s stringent functional safety and cybersecurity standards.

    NVIDIA recently received safety certifications and assessments from accredited third parties, including:

    • TÜV SÜD, which granted the ISO 21434 Cybersecurity Process certification to NVIDIA for automotive SoC, platform and software engineering processes. Additionally, NVIDIA DriveOS 6.0 conforms to ISO 26262 Automotive Safety Integrity Level (ASIL) D standards, pending certification release.
    • TÜV Rheinland, which performed an independent United Nations Economic Commission for Europe (UNECE) safety assessment of NVIDIA DRIVE AV related to safety requirements for complex electronic systems.

    In addition, NVIDIA is now accredited by the ANSI National Accreditation Board (ANAB) to provide safety and cybersecurity inspections for NVIDIA DRIVE™ ecosystem partners. The new NVIDIA DRIVE AI Systems Inspection Lab will help the NVIDIA DRIVE automotive ecosystem build autonomous driving software that meets the industry’s evolving safety and AI standards. 

    NVIDIA is the first platform company to receive a comprehensive set of third-party assessments for its automotive technologies — including the NVIDIA DRIVE end-to-end self-driving platform, spanning SoC, OS, sensor architecture and level 2+ application software — as well as independent accreditation as an AI systems safety and cybersecurity inspection lab for the automotive market.

    Intelligence Powered by Industry-Leading Compute

    NVIDIA DRIVE Thor, the core computer for DRIVE Hyperion, is the successor to the production-proven NVIDIA DRIVE Orin™. Its architecture compatibility and scalability means developers can use existing software from earlier DRIVE product generations, as well as integrate future updates, to achieve seamless development pipelines.

    DRIVE Thor is based on the NVIDIA Blackwell architecture and is optimized for the most demanding processing workloads, including those involving generative AI, vision language models and large language models. Its simplified architecture enhances generalization, reduces latency and boosts safety by harnessing powerful NVIDIA accelerated computing to run the end-to-end AV stack and a proven safety stack in parallel.

    DRIVE Thor paves the way for the next era of AV technology, known as AV 2.0, which involves delivering humanlike autonomous driving capabilities for navigating the most complex roadway scenarios.

    In addition to the DRIVE AGX in-vehicle computer, two other NVIDIA computers serve as the foundation for automotive-grade AV development: NVIDIA DGX™ systems for training advanced AI models and building a robust AV software stack in the cloud, and the NVIDIA Omniverse™ platform running on NVIDIA OVX™ systems for simulation and validation. These three computers, now enhanced with the new NVIDIA Cosmos™ world foundation model platform, are set to accelerate end-to-end AV development and mass deployment.

    To learn more about NVIDIA’s three-computer approach to automotive development and the Cosmos world foundation model platform along with other automotive news, tune in to Huang’s CES opening keynote.

     

    NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s…

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    NVIDIA Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips​on January 7, 2025 at 4:10 am

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    NVIDIA Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips​on January 7, 2025 at 4:10 am

    CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace …CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace …  

     

    NVIDIA Project DIGITS With New GB10 Superchip Debuts as World’s Smallest AI Supercomputer Capable of Running 200B-Parameter Models

    CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform.

    Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance for prototyping, fine-tuning and running large AI models.

    With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure.

    “AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers,” said Jensen Huang, founder and CEO of NVIDIA. “Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI.”

    GB10 Superchip Provides a Petaflop of Power-Efficient AI Performance

    The GB10 Superchip is a system-on-a-chip (SoC) based on the NVIDIA Grace Blackwell architecture and delivers up to 1 petaflop of AI performance at FP4 precision.

    GB10 features an NVIDIA Blackwell GPU with latest-generation CUDA® cores and fifth-generation Tensor Cores, connected via NVLink®-C2C chip-to-chip interconnect to a high-performance NVIDIA Grace™ CPU, which includes 20 power-efficient cores built with the Arm architecture. MediaTek, a market leader in Arm-based SoC designs, collaborated on the design of GB10, contributing to its best-in-class power efficiency, performance and connectivity.

    The GB10 Superchip enables Project DIGITS to deliver powerful performance using only a standard electrical outlet. Each Project DIGITS features 128GB of unified, coherent memory and up to 4TB of NVMe storage. With the supercomputer, developers can run up to 200-billion-parameter large language models to supercharge AI innovation. In addition, using NVIDIA ConnectX® networking, two Project DIGITS AI supercomputers can be linked to run up to 405-billion-parameter models.

    Grace Blackwell AI Supercomputing Within Reach

    With the Grace Blackwell architecture, enterprises and researchers can prototype, fine-tune and test models on local Project DIGITS systems running Linux-based NVIDIA DGX OS, and then deploy them seamlessly on NVIDIA DGX Cloud™, accelerated cloud instances or data center infrastructure.

    This allows developers to prototype AI on Project DIGITS and then scale on cloud or data center infrastructure, using the same Grace Blackwell architecture and the NVIDIA AI Enterprise software platform.

    Project DIGITS users can access an extensive library of NVIDIA AI software for experimentation and prototyping, including software development kits, orchestration tools, frameworks and models available in the NVIDIA NGC catalog and on the NVIDIA Developer portal. Developers can fine-tune models with the NVIDIA NeMo™ framework, accelerate data science with NVIDIA RAPIDS™ libraries and run common frameworks such as PyTorch, Python and Jupyter notebooks.

    To build agentic AI applications, users can also harness NVIDIA Blueprints and NVIDIA NIM™ microservices, which are available for research, development and testing via the NVIDIA Developer Program. When AI applications are ready to move from experimentation to production environments, the NVIDIA AI Enterprise license provides enterprise-grade security, support and product releases of NVIDIA AI software. 

    Availability

    Project DIGITS will be available in May from NVIDIA and top partners, starting at $3,000. Sign up for notifications today.

     

    CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace …

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    NVIDIA Unveils ‘Mega’ Omniverse Blueprint for Building Industrial Robot Fleet Digital Twins​on January 7, 2025 at 4:15 am

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    NVIDIA Unveils ‘Mega’ Omniverse Blueprint for Building Industrial Robot Fleet Digital Twins​on January 7, 2025 at 4:15 am

    According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10
    Read ArticleAccording to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10
    Read Article  

     

    According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms.

    Today’s 10 million factories, nearly 200,000 warehouses and 40 million miles of highways form the “computing” fabric of our physical world. But that vast network of production facilities and distribution centers is still laboriously and manually designed, operated and optimized.

    In warehousing and distribution, operators face highly complex decision optimization problems — matrices of variables and interdependencies across human workers, robotic and agentic systems and equipment. Unlike the IT industry, the physical industrial market is still waiting for its own software-defined moment.

    That moment is coming.

    Virtual facility with people, machinery and robots all moving around the facility floor. Digital representations of the pathways and sensor inputs can be visualized with colorful arrays.
    Choreographed integration of human workers, robotic and agentic systems and equipment in a facility digital twin. Image courtesy of Accenture, KION Group.

    NVIDIA today at CES announced “Mega,” an Omniverse Blueprint for developing, testing and optimizing physical AI and robot fleets at scale in a digital twin before deployment into real-world facilities.

    Advanced warehouses and factories use fleets of hundreds of autonomous mobile robots, robotic arm manipulators and humanoids working alongside people. With implementations of increasingly complex systems of sensor and robot autonomy, it requires coordinated training in simulation to optimize operations, help ensure safety and avoid disruptions.

    Mega offers enterprises a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac and NVIDIA Omniverse technologies to develop and test digital twins for testing AI-powered robot brains that drive robots, video analytics AI agents, equipment and more for handling enormous complexity and scale. The new framework brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization and deployment.

    Developing AI Brains With World Simulator for Autonomous Orchestration

    With Mega-driven digital twins, including a world simulator that coordinates all robot activities and sensor data, enterprises can continuously update facility robot brains for intelligent routes and tasks for operational efficiencies.

    The blueprint uses Omniverse Cloud Sensor RTX APIs that enable robotics developers to render sensor data from any type of intelligent machine in the factory, simultaneously, for high-fidelity large-scale sensor simulation. This allows robots to be tested in an infinite number of scenarios within the digital twin, using synthetic data in a software-in–the-loop pipeline with NVIDIA Isaac ROS.

    Digital facility with workers and robots moving around the floor. Images on either side of this view are tapped into various sensors mounted on the virtual robots moving around the facility.
    Operational efficiency is gained with sensor simulation. Image courtesy of Accenture, KION Group.

    Supply chain solutions company KION Group is collaborating with Accenture and NVIDIA as the first to adopt Mega for optimizing operations in retail, consumer packaged goods, parcel services and more.

    Jensen Huang, founder and CEO of NVIDIA, offered a glimpse into the future of this collaboration on stage at CES, demonstrating how enterprises can navigate a complex web of decisions using the Mega Omniverse Blueprint.

    “At KION, we leverage AI-driven solutions as an integral part of our strategy to optimize our customers’ supply chains and increase their productivity,” said Rob Smith, CEO of KION GROUP AG. “With NVIDIA’s AI leadership and Accenture’s expertise in digital technologies, we are reinventing warehouse automation. Bringing these strong partners together, we are creating a vision for future warehouses that are part of a smart agile system, evolve with the world around them and can handle nearly any supply chain challenge.”

    Creating Operational Efficiencies With Mega Omniverse Blueprint

    Creating operational efficiencies, KION and Accenture are embracing the Mega Omniverse Blueprint to build next-generation supply chains for KION and its customers. KION can capture and digitalize a warehouse digital twin in Omniverse by using computer-aided design files, video, lidar, image and AI-generated data.

    KION uses the Omniverse digital twin as a virtual training and testing environment for its industrial AI’s robot brains, powered by NVIDIA Isaac, tapping into smart cameras, forklifts, robotic equipment and digital humans. Integrating the Omniverse digital twin, KION’s warehouse management software can create and assign missions for robot brains, like moving a load from one place to another.

    Digital facility with workers and robots moving around the floor. Dashboard metrics are placed over the viewport of the digital twin, which showcase various throughput and productivity metrics related to the scene.
    Graphical data is easily introduced into the Omniverse viewport showcasing productivity and throughput among other desired metrics. Image courtesy of Accenture, KION Group.

    These simulated robots can carry out tasks by perceiving and reasoning in environments, and they’re capable of planning next motions and then taking actions that are simulated in the digital twin. The robot brains perceive the results deciding the next action, and this cycle continues with Mega precisely tracking the state and position of all the assets in the digital twin.

    Delivering Services With Mega for Facilities Everywhere

    Accenture, global leader in professional services, is adopting Mega as part of its AI Refinery for Simulation and Robotics, built on NVIDIA AI and Omniverse, to help organizations use AI simulation to reinvent factory and warehouse design and ongoing operations.

    With the blueprint, Accenture is delivering new services — including Custom Robotics and Manufacturing Foundation Model Training and Finetuning; Intelligent Humanoid Robotics; and AI-Powered Industrial Manufacturing and Logistics Simulation and Optimization — to expand the power of physical AI and  simulation to the world’s factories and warehouse operators.  Now, for example, an organization can explore numerous options for their warehouse before choosing and implementing the best one.

    “As organizations enter the age of industrial AI, we are helping them use AI-powered simulation and autonomous robots to reinvent the process of designing new facilities and optimizing existing operations,” said Julie Sweet, chair and CEO of Accenture. “Our collaboration with NVIDIA and KION will help our clients plan their operations in digital twins, where they can run hundreds of options and quickly select the best for current or changing market conditions, such as seasonal market demand or workforce availability.  This represents a new frontier of value for our clients to achieve using technology, data and AI.”

    Join NVIDIA at CES. 

    See notice regarding software product information.

     

    According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10
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