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Even Nvidia's own research teams can't get enough GPUs amid the race for AI computing power [Fortune]
Last nvidia corporation earnings: 2/13 04:20 pm
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US:NASDAQ Investor Relations: investor.nvidia.com/home/default.aspx
Amazon's $200 billilon spending spree. .OpenAI pauses Stargate U.K. data center, citing energy costs. Recommended Video It's been another one of those wild weeks in AI, with Anthropic electing not to release its new Claude Mythos model because of concerns about the cybersecurity risks it poses (and forming a coalition to use a preview version of the model to bolster cybersecurity defenses); Meta releasing its first AI model since hiring Alexandr Wang; and mounting expectations about OpenAI's upcoming new “Spud” model. Most of these AI models run on Nvidia GPUs, the sophisticated and expensive AI chips (at over $30,000 a pop) that power their training and output. But across the industry, access to those chips remains a bottleneck. OpenAI president Greg Brockman, for example, has said allocating GPUs at OpenAI is “pain and suffering.” This week, at the HumanX conference in San Francisco, I discovered that even inside Nvidia, GPUs are scarce. I sat down with Bryan Catanzaro, wh
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