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He often dropped the identify of his good friend and buyer Michael Dell within the viewers, highlighting the broad attain of Nvidia past simply the GPU. “There’s $100 trillion of the world’s industries within the room at this time,” Huang mentioned. The keynote was stuffed with bulletins of partnerships in any respect ranges—from EDA to enterprise and past.
Huang launched the corporate’s new Blackwell computing platform, outlining the main advances that elevated computing energy can ship to every part—from software program to companies, robotics to medical expertise, and extra.
“Accelerated computing has reached the tipping level—basic function computing has run out of steam,” he mentioned. “We’d like one other manner of doing computing—in order that we are able to proceed to scale in order that we are able to proceed to drive down the price of computing, in order that we are able to proceed to devour increasingly computing whereas being sustainable. Accelerated computing is a dramatic speedup over general-purpose computing, in each single trade.”
By Dylan Liu, Geehy Semiconductor 03.21.2024
By Lancelot Hu 03.18.2024
By EE Occasions Taiwan 03.18.2024
Key messages have been round computing, simulation and microservices to ship the world’s generative AI functionality. The brand new Blackwell platform would ship an enormous improve to the world’s AI infrastructure to unleash real-time generative AI on trillion-parameter giant language fashions, based on Huang.
He additionally offered Nvidia inference microservices (Nvidia NIM), a brand new manner of packaging and delivering software program that connects builders with a whole lot of hundreds of thousands of GPUs to deploy customized AI of all types. Bringing AI into the bodily world, he launched Omniverse Cloud APIs to ship superior simulation capabilities.
Huang has achieved rock star standing within the AI world, and he is aware of that he has a possibility to make the most of this to ship income development and lengthen Nvidia’s attain into all features of AI.
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