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(Microsoft later said aspects of the report were wrong, but that it has long had efforts to see if it could develop its own computer chips.) George Hotz, a Silicon Valley hacker and merry prankster best known for jailbreaking iPhones and Playstations and who went on to build a self-driving car in his own garage, also announced he was starting a software company called Tiny Corp. In the past month, news accounts reported that Microsoft was collaborating with AMD, Nvidia’s primary rival in the graphics rendering sphere, on a possible A.I.-specific chip that could make Microsoft less reliant on purchasing Nvidia’s GPUs. Clearly, Nvidia’s Nemo LLM may need some further fine-tuning.Īs any student of power politics or game theory knows, hegemons tend to beget alliances aimed at countering their overwhelming strength. But the LLM-generated dialogue, as many commentators noted, seemed no less stilted than the canned dialogue that humans script for non-player characters in existing games. Well, the visuals in the scene, which was set in a ramen shop in a kind of Tokyo underworld, were arrestingly cinematic. It showed a video depicting how its A.I.-powered graphics rendering chips and large language models can be coupled to create non-player characters for a computer game that are more realistic and less scripted, than those that currently exist.

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capabilities in a demo geared towards Computex’s PC and video gaming crowd.

At Computex, the company tried to demonstrate some of these A.I. Of course, Nvidia has recently branched out from hardware and begun offering its own fully-trained A.I. Nvidia said the first customers for this supercomputer will be Microsoft, Google, and Meta. The new supercomputer is designed for training ultra-large language models, complex recommendation algorithms, and graph neural networks that are used for some fraud detection and data analytics applications. Huang revealed that the company had linked 256 of these GH200 chips together using the company’s own NVLink networking technology to create a supercomputer that can power applications requiring up to 144 terabytes of memory. workloads, with its Grace CPU, or central processing unit, that can handle a more diverse set of computing tasks. These chips combine Nvidia’s highest-performing Hopper H100 graphics processing units, now the top-of-the-line chip for generative A.I.

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boom that is being built atop Nvidia’s graphics processing units, the company’s stock is up more than 180% year to date.Īt the show, Huang announced that Nvidia’s Grace Hopper GH200 “superchips”-as the company terms them-are now in full production. Thanks to investor enthusiasm for the generative A.I. Jensen Huang, the company’s Taiwan-born CEO, bantered with the crowd in Taiwanese during parts of his keynote address to the conference and was clearly reveling in his status as a homegrown hero as his company closed in on a $1 trillion market valuation-a milestone it hit today, a day after Huang’s keynote, becoming the first chipmaker ever to reach that lofty height.

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