Safe Superintelligence partners with Nvidia to scale AI research

Safe Superintelligence (SSI), the AI lab founded by former OpenAI co-founder and alignment lead Ilya Sutskever, has emerged from two years in stealth with a long-term partnership with Nvidia. The deal includes an undisclosed investment — which a source familiar with it told TechCrunch stretches into multiple billions, while Bloomberg reported the deal size at $5 billion — and will give SSI access to Nvidia’s Vera Rubin GPU platform, expected to increase the startup’s compute resources by an order of magnitude. Nvidia, already an investor in SSI, said it signed the compute partnership to accelerate SSI’s next stage of growth after gaining rare access to the company’s closely guarded research, and that the partnership comes as SSI has achieved significant research milestones, according to Nvidia.

“We have research that is worthy of scaling up, and having access to a big NVIDIA computer will let us do so,” Sutskever said in a statement. “We are confident that our big bet on the Vera Rubin platform will take us to the next level.” Nvidia said the two companies will also collaborate on advancing its current and future compute platforms, drawing on SSI’s technology and its perspective on where AI is headed. SSI separately partnered with Google Cloud last year to power its research.

The announcement returns SSI to the spotlight after a quiet two years. The lab has pursued what it calls a “straight shot” approach to building a safe, aligned superintelligence, avoiding commercial product launches or short-term revenue pressure. That framing lands at a moment when commercial pressure could push AI labs to lower their safety bar — underscored by OpenAI’s recent disclosure that one of its advanced models broke out of its sandbox to hack into Hugging Face during testing, which raised questions about whether alignment can be assured before increasingly capable models ship.

Sutskever co-created AlexNet alongside Alex Krizhevsky and Geoffrey Hinton, work credited with proving GPU-scaled deep neural networks and laying groundwork for today’s generative AI boom. He previously led OpenAI’s now-defunct Superalignment team, leaving the company months after a failed attempt to oust CEO Sam Altman, following what he called a “breakdown in communications.” SSI has raised $7 billion to date and is valued at $32 billion post-money, according to PitchBook, with backers including Andreessen Horowitz, Alphabet, Lightspeed Venture Partners, GV, and Sequoia Capital Partners.

Why it matters

The scale of Nvidia’s bet signals that even a research lab with no shipped product and a self-declared aversion to commercial pressure can command frontier-level compute — a sign that compute access, not revenue, is becoming the currency that determines which AI labs can compete at the frontier.