Ian Buck

Ian Buck is Nvidia's vice president of hyperscale and high-performance computing and its head of product for hyperscale AI. He manages AI hardware and software products developed and deployed with customers including Microsoft, Google, Amazon, Meta and OpenAI. That responsibility, together with his work on GPU computing, has made him a recurring name in outside discussions of a possible successor to Jensen Huang. Analysts and observers had cited him well before the current succession discussion. His status is speculation: there is no reported board interest, and he has made no public statement that he wants the job.

Buck joined Nvidia in 2004 after completing his computer science Ph.D. at Stanford. He had previously interned at the company. At Stanford, he led development of Brook, a forerunner of general-purpose computing on GPUs, and was lead author of the Brook paper presented at SIGGRAPH in 2004. His doctoral thesis examined stream computing on graphics hardware. At Nvidia, his work included CUDA, released in 2007 and now used by millions of developers, researchers and scientists. By February 2018, he was vice president and general manager of Nvidia's Tesla business, its data center GPU line. That month he testified before a House subcommittee, calling for more federal research funding and faster supercomputers for AI research.

The question for a Buck candidacy is how that technical and product record translates into running the whole company. Nvidia biographer Stephen Witt said in 2025 that Buck did not spend much time on business strategy, describing his strengths in engineering terms. His operational experience has also been questioned against what investors seek in the head of a large public company. Buck holds a vice president title and is absent from Nvidia's executive-bios list of four company officers, all executive vice presidents, whose responsibilities cover finance, worldwide field operations, operations and legal affairs.