NVIDIA announces 'Supporting Japanese quantum computer research,' 'Strengthening humanoid robotics infrastructure models,' 'AI services for drug discovery,' and 'Expanding the availability of AI chips for automobiles' at GTC 2024
NVIDIA's technology conference,
NVIDIA Announces Project GR00T Foundation Model for Humanoid Robots and Major Isaac Robotics Platform Update | NVIDIA Newsroom
https://nvidianews.nvidia.com/news/foundation-model-isaac-robotics-platform
NVIDIA Powers Japan's ABCI-Q Supercomputer for Quantum Research | NVIDIA Newsroom
https://nvidianews.nvidia.com/news/nvidia-powers-japans-abci-q-supercomputer-for-quantum-research
NVIDIA Healthcare Launches Generative AI Microservices to Advance Drug Discovery, MedTech and Digital Health | NVIDIA Newsroom
https://nvidianews.nvidia.com/news/healthcare-generative-ai-microservices
NVIDIA DRIVE Powers Next Generation of Transportation — From Cars and Trucks to Robotaxis and Autonomous Delivery Vehicles | NVIDIA Newsroom
https://nvidianews.nvidia.com/news/nvidia-drive-powers-next-generation-transportation
The architecture 'Blackwell' and GPU 'B200' are summarized in the following article.
NVIDIA announces GPU architecture 'Blackwell' and new GPU 'B200' that realizes AI models with trillions of parameters - GIGAZINE
◆Announcement of 'Project GR00T,' a general-purpose platform model for humanoid robots, and a major upgrade to the 'Isaac Robotics Platform'
To further advance efforts to promote breakthroughs in robotics and embodied AI, Project GR00T was announced, a general-purpose platform model for humanoid robots.
As part of this effort, the company also announced Jetson Thor , a humanoid robot based on the Thor automotive SoC, and a major upgrade to its Isaac robotics platform.
'Building a foundational model for a general-purpose humanoid robot is one of the most exciting challenges to be solved in AI today,' said Jensen Huang, CEO. 'Leading robotics researchers around the world are converging on enabling technologies to make a major leap towards artificial general-purpose robotics.'
Below is the announcement of 'Project GR00T'.
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I'm so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
pic.twitter.com/EqN19Z3cXH — Jim Fan (@DrJimFan) March 18, 2024
The GR00T model will enable a robot to understand multimodal…
Jetson Thor is built as a new computing platform capable of performing complex tasks and interacting safely and naturally with humans and machines, with a modular architecture optimized for performance, power, and size.
◆ Support for the quantum computing supercomputer 'ABCI-Q Supercomputer' scheduled for introduction in 2025
The ABCI-Q supercomputer , being built by Fujitsu at the Global Research Center for Business Development of Quantum and AI Fusion Technologies (G-QuAT) at the National Institute of Advanced Industrial Science and Technology (AIST) and scheduled for deployment in early 2025, will feature more than 2,000 H100 GPUs across more than 500 nodes interconnected via Quantum-2 InfiniBand.
It also integrates the hybrid quantum computing platform
'Researchers need high-performance simulations to tackle the toughest challenges in quantum computing,' said Tim Costa, director of quantum computing. 'The adoption of CUDA-Q and the NVIDIA H100 at pioneering research institutions like ABCI marks a critical development that will accelerate the development of an integrated quantum supercomputer.'
Masahiro Horibe, deputy director of G-QuAT, said, 'Through ABCI-Q, Japanese researchers will gain a deeper understanding of quantum computing and accelerate the testing and development of practical applications. The NVIDIA CUDA-Q platform and NVIDIA H100 will support scientists as they explore new frontiers in quantum computing research.'
G-QuAT and NVIDIA also plan to collaborate on industrial applications using ABCI-Q.
Generative AI microservices for drug discovery, medical technology, and digital health promotion
More than 20 new microservices are now available to enable healthcare organizations around the world to take advantage of the latest advancements in generative AI from anywhere, on any cloud.
The new suite of services includes optimized NVIDIA NIM AI models and workflows with industry-standard APIs needed to create and deploy cloud-native applications, providing advanced image processing, natural language and speech recognition, and digital biology generation, prediction, and simulation.
Additionally, customers will have access to NVIDIA-accelerated software development kits and tools as CUDA-X microservices to accelerate healthcare workflows such as drug discovery, medical imaging and genomics analysis.
'For the first time in history, the worlds of biology and chemistry can be represented computationally, enabling computer-aided drug discovery,' said Kimberly Powell, vice president of Healthcare at NVIDIA. 'By helping healthcare companies easily build and manage AI solutions, we will enable them to unleash the power and potential of generative AI.'
Transportation giant adopts NVIDIA DRIVE Thor centralized in-vehicle computer in its vehicles
DRIVE Thor, an in-vehicle computing platform that provides cockpit functions, safety, security, advanced automation, and autonomous driving, has been adopted for next-generation vehicles from BYD, Hyper, XPENG, Plus, Nuro, Waabi, and WeRide.
While electric vehicle manufacturers Li Auto and ZEEKR are already ahead of the curve, BYD is expanding its collaboration with NVIDIA beyond automobiles to the cloud, using NVIDIA's infrastructure for AI development and training technology, as well as virtual factory planning and the development of configurator tools and applications for sales.
Additionally, Hyper, the premium brand of GCA AION, is using NVIDIA DRIVE Orin in its flagship model, the Hyper GT, and will adopt DRIVE Thor in its next-generation EVs produced in 2025.
'Accelerated computing has enabled revolutionary breakthroughs like autonomy and generative AI that are redefining the entire global transportation industry,' said Xinzhou Wu, vice president of Automotive at NVIDIA. 'While DRIVE Orin remains the AI car computer of choice for today's intelligent vehicles, mobility leaders now plan to introduce NVIDIA DRIVE Thor into their roadmaps for next-generation AI-enabled vehicles.'
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