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 by way of software-defined testing and optimization of factories and warehouses.
Citing details and figures – there are 10 million factories, practically 200,000 warehouses and 40 million miles of highways – the corporate stated this huge industrial community of manufacturing services and distribution facilities continues to be laboriously and manually designed, operated and optimized.
Mega is a blueprint designed for growing, testing and optimizing bodily AI and robotic fleets at scale in a digital twin earlier than deployment into real-world services. That is for superior warehouses and factories that use fleets of autonomous cellular 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 growing and testing digital twins for AI-powered robotic brains that drive robots, video analytics AI brokers, gear and extra for dealing with huge complexity and scale. The brand new framework brings software-defined capabilities to bodily services, enabling steady improvement, testing, optimization and deployment.
Nvidia Omniverse with Generative Bodily AI
Nvidia introduced generative AI fashions and blueprints that increase its Omniverse integration into bodily AI purposes, reminiscent of 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. Industrial automation firm Siemens additionally introduced the provision of Teamcenter Digital Actuality Viewer — the primary Siemens Xcelerator software powered by NVIDIA Omniverse libraries.
“Bodily AI will revolutionize the $50 trillion manufacturing and logistics industries. Every thing that strikes — from vehicles and vans to factories and warehouses — shall 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 at the moment are typically obtainable, 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 in the present day can robotically 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, based on the corporate.
Venture DIGITS With Grace Blackwell 10 Superchip Debuts as AI Supercomputer
Nvidia introduced Venture DIGITS, which the corporate referred to as a private AI supercomputer designed to offer AI researchers, knowledge scientists and college students entry to Grace Blackwell platform, introduced final March on the firm’s GTC convention.
Venture DIGITS provides a petaflop of GB10 Superchip computing efficiency for prototyping, fine-tuning and operating giant 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 knowledge heart infrastructure.
The corporate stated Venture DIGITS delivers GB10 efficiency utilizing solely a regular electrical outlet. Every Venture 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 giant language fashions. As well as, utilizing Nvidia ConnectX networking, two Venture 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 improvement of bodily AI methods reminiscent of autonomous automobiles (AVs) and robots.
Cosmos fashions shall be obtainable underneath 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 giant language fashions, world basis fashions are basic to advancing robotic and AV improvement, 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.
