"My team uses AI very deeply in our work, and their primary complaint is they want higher limits. They want more GPUs."
"We're all supply constrained. Jensen will say, 'I'm sorry, Bryan, but there’s just not enough to go around.'"
Nvidia's GPUs, essential for AI model training, are in short supply, affecting various teams, including those at Nvidia itself. Bryan Catanzaro, leading applied deep learning research at Nvidia, noted that his team struggles to secure enough GPUs, highlighting a broader industry issue. OpenAI's president described GPU allocation as a source of frustration. Despite the high demand, the scarcity of these advanced chips continues to hinder AI advancements across the sector, emphasizing the need for increased computational resources.
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