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VB Transform 2024: Find out if new AI inference platforms have what it takes to topple Nvidia
Everyone and their very smart grandmother are talking about the increasing pressure to scale AI while it becomes more expensive every day.
Jensen Huang, Nvidia’s CEO and now the 11 th richest person in the world, is finding that his diamond shoes are too tight; he’s worried that customers who have bought their chips aren’t ready with the data centers and power sources necessary to put them in action. And that’s stirred the leviathan from the depths: Microsoft, recently dethroned as the globe’s big bad business, isn’t happy with Nvidia’s attempt to dictate how the industry giant should install its GPU in data centers. So don’t miss Kirk Bresniker, Hewlett Packard labs chief architect and HPE Fellow/VP, Dr. Jamie Garcia, director of quantum algorithms and partnerships, IBM; along with Paul Roberts, director of strategic accounts at AWS, as they dive into the race to scale AI workloads while controlling infrastructure costs, the emerging wave of alternative infrastructure providers that are actively pursuing efforts to increase the performance of processing AI workloads while reducing costs, energy consumption and the environmental impact, and more.
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