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Sutskever's Safe Superintelligence Signs Long-Term Partnership With Nvidia

Safe Superintelligence, the lab founded by former OpenAI chief scientist Ilya Sutskever, has made its first loud announcement after two years of silence: a long-term partnership with Nvidia. The deal gives the startup access to the compute it needs to scale its research on safe superintelligence. Terms and financial details were not disclosed. The company was founded in 2024 and has no public products.

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Sutskever's Safe Superintelligence Signs Long-Term Partnership With Nvidia
Source: TechCrunch. Collage: Hamidun News.
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Safe Superintelligence (SSI), the startup of former OpenAI chief scientist Ilya Sutskever, has announced a long-term partnership with Nvidia to scale its research after two years of working behind closed doors. TechCrunch reported the deal on July 27, 2026.

What happened

Safe Superintelligence has signed a long-term partnership with Nvidia, the largest maker of accelerators for training AI models. The company has come out of two years in stealth and, in the words of its announcement, is preparing for the "next phase" of its development. SSI did not disclose the specific terms of the deal: the amount of compute, the price, or the timeline.

Safe Superintelligence has made almost no public statements since its founding in 2024, so the announcement of a partnership with an infrastructure supplier is the lab's first major step into the public eye.

  • Company: Safe Superintelligence (SSI)
  • Founder: Ilya Sutskever, former chief scientist at OpenAI
  • Partner: Nvidia, long-term collaboration
  • Announcement date: July 27, 2026, according to TechCrunch
  • Before the announcement, the company spent two years in stealth
"A long-term partnership with

Nvidia as we prepare for the next phase," from the Safe Superintelligence announcement, as reported by TechCrunch.

Why SSI needs a partnership with Nvidia

The Nvidia partnership gives SSI guaranteed access to compute, the scarcest resource in the race for frontier AI models. Training frontier systems takes tens of thousands of GPUs, and Nvidia holds the bulk of that market. The long-term nature of the deal means SSI is reserving capacity for scaling in advance rather than buying it piecemeal.

Sutskever is building the company around a single goal, creating safe superintelligence, with no intermediate commercial products. That approach demands enormous compute spending without quick revenue, which makes reliable access to hardware critical for the lab.

What we know about Sutskever's company

Ilya Sutskever founded Safe Superintelligence in 2024 after leaving OpenAI, where he was one of the key scientific architects and took part in the attempt to replace the company's leadership in late 2023. According to Reuters, SSI raised about $1 billion in 2024 at a $5 billion valuation, and by 2025, according to media reports, its valuation had grown to roughly $32 billion, even though the startup has no public product.

SSI (Safe Superintelligence Inc.) has described its sole mission as research into safe superintelligence. Unlike OpenAI or Anthropic, the company deliberately chose not to ship intermediate services and focused on one long-term goal.

What this means

The partnership cements an alliance between two centers of power: Sutskever's scientific bet on "safe superintelligence" and the computing muscle of Nvidia, which accounts for most of the AI accelerator market. For the industry, it is a signal: even a startup valued in the tens of billions of dollars and without a single product cannot scale without long-term access to Nvidia GPUs.

Frequently asked questions

Who founded Safe Superintelligence?

The company was founded in 2024 by Ilya Sutskever, former chief scientist at OpenAI and co-author of several landmark deep learning papers.

What does SSI do?

According to the company itself, SSI has a single goal: creating safe superintelligence. Unlike OpenAI or Anthropic, the startup does not release intermediate commercial products.

What does the Nvidia partnership provide?

The partnership gives SSI long-term access to Nvidia GPUs for training large models. GPU scarcity is the key bottleneck holding back the entire industry.

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