Nvidia invests in Ilya Sutskever's SSI lab, displacing Google chips

Nvidia announced on Monday a long-term partnership with Safe Superintelligence (SSI), the AI research laboratory founded by Ilya Sutskever, OpenAI's former chief scientist. Under the deal, Nvidia is investing what it describes as a "substantial" amount in SSI, though the companies have not disclosed the exact figure.

As part of the partnership, SSI will gain access to Nvidia's next-generation Vera Rubin GPU platform. According to the companies, this access will boost SSI's compute capacity tenfold—a significant upgrade from its previous infrastructure. Until now, the lab had relied mainly on Google's TPU chips for its computational needs, according to reporting by the Wall Street Journal. The shift to Nvidia hardware also serves a strategic purpose for Nvidia itself: the deal helps the company fend off Google as a rival chip supplier during the ongoing AI boom, when demand for specialized computing hardware from leading research labs is intense.

SSI was founded in 2024 with an explicit mission: a "straight-shot" sprint toward safe superintelligence. Sutskever has stated that the research focuses on "overlooked aspects of how the human brain functions." The lab raised approximately $2 billion（約3200億円） in funding from Andreessen Horowitz, Sequoia Capital, DST Global, and Greenoaks, and was most recently valued at roughly $30 billion（約4.8兆円）, reflecting strong confidence from leading venture investors in the lab's leadership and technical direction.

Safe Superintelligence, founded in 2024 by Ilya Sutskever after his departure from OpenAI, has quickly established itself as a well-capitalized AI research effort with a singular focus: achieving safe superintelligence through what Sutskever describes as a "straight-shot" sprint. The lab raised approximately $2 billion（約3200億円） from a roster of top-tier venture firms—Andreessen Horowitz, Sequoia Capital, DST Global, and Greenoaks—and was valued at roughly $30 billion（約4.8兆円） in its most recent funding round, reflecting confidence in its mission and leadership.

Nvidia's substantial investment and commitment to provide access to its next-generation Vera Rubin GPU platform represents both a validation of SSI's research direction and a strategic move in the broader competition for influence over the AI infrastructure supply chain. By shifting SSI away from Google's TPU chips to Nvidia's Vera Rubin platform—a move that will expand SSI's compute capacity tenfold—Nvidia strengthens its position as the preferred hardware partner for cutting-edge AI research labs at a time when computational resources are a critical bottleneck for AI development. For SSI, the tenfold increase in compute capacity directly supports its stated research focus on overlooked aspects of human brain function, potentially accelerating progress toward its superintelligence goals.

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