Nvidia issued its anticipated raft of reports at CES this week, right here’s an summary of bulletins for the HPC-AI sector:
‘Mega’ Omniverse Blueprint for Industrial Robotic Fleet Digital Twins
The corporate stated Mega is an omniverse framework for next-gen industrial AI and robotic simulation via software-defined testing and optimization of factories and warehouses.
Citing details and figures – there are 10 million factories, almost 200,000 warehouses and 40 million miles of highways – the corporate stated this huge industrial community of manufacturing amenities and distribution facilities continues to be laboriously and manually designed, operated and optimized.
Mega is a blueprint designed for creating, testing and optimizing bodily AI and robotic fleets at scale in a digital twin earlier than deployment into real-world amenities. That is for superior warehouses and factories that use fleets of autonomous cell robots, robotic arm manipulators and humanoids working alongside folks.
Nvidia stated Mega provides a reference structure of accelerated computing, AI, Nvidia Isaac and Nvidia Omniverse applied sciences for creating and testing digital twins for AI-powered robotic brains that drive robots, video analytics AI brokers, gear and extra for dealing with monumental complexity and scale. The brand new framework brings software-defined capabilities to bodily amenities, enabling steady growth, testing, optimization and deployment.
Nvidia Omniverse with Generative Bodily AI
Nvidia introduced generative AI fashions and blueprints that broaden its Omniverse integration into bodily AI functions, comparable to robotics, autonomous automobiles and imaginative and prescient AI.
The corporate stated Accenture, Altair, Ansys, Cadence, Foretellix, Microsoft and Neural Idea are among the many first to combine Omniverse into their software program services and products. Industrial automation firm Siemens additionally introduced the provision of Teamcenter Digital Actuality Viewer — the primary Siemens Xcelerator utility powered by NVIDIA Omniverse libraries.
“Bodily AI will revolutionize the $50 trillion manufacturing and logistics industries. Every thing that strikes — from automobiles and vehicles to factories and warehouses — might be robotic and embodied by AI,” stated Jensen Huang, founder and CEO at NVIDIA. “NVIDIA’s Omniverse digital twin working system and Cosmos bodily AI function the foundational libraries for digitalizing the world’s bodily industries.”
Nvidia stated the USD Code and USD Search NVIDIA NIM microservices are actually usually out there, they’re designed to let builders use textual content prompts to generate or seek for OpenUSD property. A brand new NVIDIA Edify SimReady generative AI mannequin unveiled as we speak can routinely label present 3D property with attributes like physics or supplies, enabling builders to course of 1,000 3D objects in minutes as an alternative of over 40 hours manually, in keeping with the corporate.
Mission DIGITS With Grace Blackwell 10 Superchip Debuts as AI Supercomputer
Nvidia introduced Mission DIGITS, which the corporate referred to as a private AI supercomputer designed to offer AI researchers, information scientists and college students entry to Grace Blackwell platform, introduced final March on the firm’s GTC convention.
Mission DIGITS provides a petaflop of GB10 Superchip computing efficiency for prototyping, fine-tuning and working massive AI fashions. The corporate stated customers can develop and run inference on fashions utilizing their desktop system, then deploy the fashions on accelerated cloud or information middle infrastructure.
The corporate stated Mission DIGITS delivers GB10 efficiency utilizing solely a typical electrical outlet. Every Mission DIGITS options 128GB of unified, coherent reminiscence and as much as 4TB of NVMe storage. With the supercomputer, builders can run as much as 200-billion-parameter massive language fashions. As well as, utilizing Nvidia ConnectX networking, two Mission DIGITS AI supercomputers could be linked to run as much as 405-billion-parameter fashions.
Cosmos World Basis Mannequin Platform for Bodily AI Improvement
Nvidia introduced Cosmos, a platform comprised of generative basis fashions, tokenizers, guardrails and an accelerated video processing pipeline constructed for growth of bodily AI methods comparable to autonomous automobiles (AVs) and robots.
Cosmos fashions might be out there below an open mannequin license to assist speed up the work of the robotics and AV neighborhood. Builders can preview the primary fashions on the NVIDIA API catalog, or obtain the household of fashions and fine-tuning framework from the NVIDIA NGC catalog or Hugging Face.
Robotics and automotive firms, together with 1X, Agile Robots, Agility, Determine AI, Foretellix, Fourier, Galbot, Hillbot, IntBot, Neura Robotics, Skild AI, Digital Incision, Waabi and XPENG, together with ridesharing big Uber, are among the many first to undertake Cosmos.
“The ChatGPT second for robotics is coming. Like massive language fashions, world basis fashions are elementary to advancing robotic and AV growth, but not all builders have the experience and assets to coach their very own,” stated Huang. “We created Cosmos to democratize bodily AI and put normal robotics in attain of each developer.”
All Nvidia CES-related bulletins and blogs could be discovered right here.
