Nvidia has announced a long-term strategic partnership with Safe Superintelligence, the AI research lab founded by former OpenAI co-founder Ilya Sutskever. Bloomberg reported that Nvidia’s investment was $5 billion, although neither company disclosed an official amount and described the investment only as “substantial.”

The announcement was made Monday, with Nvidia stock trading near recent highs. NVDA has been among the strongest-performing large-cap stocks over the past two years, as investor attention has remained focused on artificial intelligence infrastructure and demand for advanced chips.

Under the agreement, Safe Superintelligence, also known as SSI, will receive access to Nvidia’s Vera Rubin GPU platform. The access is expected to increase SSI’s available compute “by an order of magnitude,” according to the announcement. The added capacity is a significant expansion for a lab that has operated quietly for two years while pursuing what it describes as a new research direction.

For frontier AI labs, computing capacity is one of the main constraints on training larger models, running more experiments, and testing new architectures. That makes access to Nvidia’s newest GPU platforms strategically important, particularly for research groups trying to scale work that has not yet been widely disclosed.

Nvidia CEO Jensen Huang praised Sutskever’s work in a statement tied to the partnership. “Ilya has pioneered fundamental breakthroughs at the foundation of modern AI, beginning with AlexNet,” Huang said. “We are excited to see what new breakthroughs SSI will discover powered by our Vera Rubin platform.”

Sutskever also emphasized the importance of the additional computing capacity. “We have research that is worthy of scaling up, and having access to a big NVIDIA computer will let us do so,” he said.

What SSI Brings to the Partnership

SSI has kept its research closely guarded since its launch. Nvidia said it entered the partnership after gaining “rare access” to that research, indicating that the agreement followed a deeper review of the lab’s work rather than a routine hardware supply arrangement.

The lab’s stated focus is on developing artificial intelligence that is both powerful and robustly aligned. That combination is central to SSI’s mission and is the area of research highlighted in connection with Nvidia’s decision to support the company.

SSI had previously raised $2 billion in April 2025 at a $32 billion valuation. The new partnership with Nvidia adds substantially more computing resources behind that effort and marks a major increase in the scale of SSI’s infrastructure.

Nvidia’s Broader AI Lab Strategy

The SSI deal is not Nvidia’s first partnership of this type. The company already has a similar partnership in place with OpenAI. Rival chipmaker AMD recently reached a comparable agreement with Anthropic.

These arrangements show that leading AI labs and chipmakers are forming early hardware partnerships as demand for next-generation compute continues to rise. For AI companies, access to advanced GPU infrastructure is a core requirement for training and scaling frontier models. For chipmakers, these partnerships place their platforms at the center of major AI research programs.

The Nvidia-SSI agreement goes beyond hardware access. The two companies will also collaborate on the technical development of Nvidia’s current and future compute platforms. SSI’s research insights are expected to feed directly into that work.

That structure makes the arrangement broader than a sales agreement. It gives Nvidia a role inside SSI’s development process while also giving SSI input into Nvidia’s platform roadmap. In an industry where hardware availability, model training requirements, and platform design are increasingly linked, that kind of feedback loop can matter for both AI labs and chip suppliers.

Sutskever said the partnership reflects confidence in Nvidia’s Vera Rubin platform. “We are confident that our big bet on the Vera Rubin platform will take us to the next level,” he added.

The Vera Rubin platform is Nvidia’s next generation of GPU infrastructure and succeeds the company’s Blackwell architecture. For SSI, access to that platform expands the computing base available for its research. For Nvidia, the deal deepens its relationship with one of the most closely watched private AI labs.

SSI’s $32 billion valuation from April 2025 had already made it one of the most valuable private artificial intelligence companies. The Nvidia partnership adds significant hardware capacity to that foundation and formalizes a long-term collaboration between the chipmaker and Sutskever’s AI lab.