Nvidia has just gone ahead and become the world’s most valuable company, raking in massive revenue from the GPUs it sells at truly a tremendous markup, thanks to scarcity of resources and the magic of capitalism. It’s giving continued juice to the refrain “Where are we going to get the revenue to buy the GPUs we need, and how are we going to fuel our workloads?”
Jensen Huang, Nvidia’s CEO and now the 11th 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. The company is still reportedly dictating how chips are allocated, to prevent companies from stockpiling them amid limited supply. 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.
But on the heels of the very measured and rational response to the market pressure on companies that want to implement AI comes the announcement from Dell Chief Executive Officer Michael Dell: the company is partnering with Nvidia to build a new AI factory for for Elon Musk’s startup xAI, but also, they claim, aimed at helping companies build out data centers, while Hewlett Packer Enterprise announced a partnership with Nvidia to provide turnkey, private-cloud AI solutions.
Everyone and their very smart grandmother are talking about the increasing pressure to scale while it becomes more expensive every day, from the Chip Wars to the struggle to find the compute and power necessary to stay in the AI game. Will the cost of scaling infrastructure limit AI’s potential? It’s a powerful question in this context — and it will be answered at VentureBeat’s Transform 2024, live in San Francisco. Major players in the industry will be digging into the situation as it stands and what it means for enterprise, as well as the alternative technologies that are gaining ground in both interest and effectiveness.
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.
This year VB Transform 2024 is coming to you live in San Francisco, July 9 -11. Happily, the theme is putting AI to work at scale, with a lens on the practical gen AI case studies and application stories that matter most, directly from industry leaders. Register now!
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