Tech giants allocate billions for GPU stockpiles as supply thins, with alternative solutions possibly years away.
OpenAI’s US$10 billion investment by Microsoft is widely understood to be credit for Nvidia GPU-powered data centre access.
Nvidia’s CEO and founder Jensen Huang made a wild bet years ago that the world would soon clamor for a powerful chip usually used for making video games, but that could build AI as well. “Around the world, it is becoming very hard to get thousands of GPUs because all these big companies are putting in billions of dollars, stockpiling GPUs,” said Fangbo Tao, co-founder of Mindverse.AI, a Singapore-based startup.Tao spoke to AFP at the TechCrunch Disrupt conference in San Francisco, where AI startups jostled to make their pitches to Silicon Valley’s venture capitalists .
Thanks to AI, some of the old mojo is back, and anyone with those two letters on their resume will likely see a red carpet rolled out on the legendary Sand Hill Road, home to Silicon Valley’s most storied investors. The problem is most acute for companies involved in training generative AI models, which requires that power hungry GPUs work at peak capacity to process troves of data ingested from the internet.
Training on that mountain of data “is sucking out almost all the oxygen from the GPU market right now”, said Said Ouissal, CEO of Zededa, a company that works on making AI less power hungry.
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