Safe Superintelligence partners with Nvidia to scale research capabilities

Safe Superintelligence Inc., the AI company founded by former OpenAI chief scientist Ilya Sutskever, has locked in a $2 billion funding round backed by Nvidia and Alphabet. The deal values the company at roughly $32 billion, which is remarkable for a firm that didn’t exist 12 months ago.

Nvidia’s investment is aimed at dramatically scaling SSI’s computing power for superintelligence research.

From zero to $32 billion in under a year

SSI was founded on June 19, 2024, with a singular and intentionally narrow mission: build safe superintelligence. No chatbots, no enterprise SaaS products, no pivot-ready roadmap.

The trajectory has been staggering. In September 2024, barely three months after incorporation, SSI raised $1 billion at a $5 billion valuation. The April 2025 round, pulling in $2 billion from Nvidia, Alphabet, a16z, and Lightspeed, pushed the valuation to approximately $32 billion. That’s a 6x jump in roughly seven months.

The company operates out of dual offices in Palo Alto, California, and Tel Aviv, Israel, and continues to recruit aggressively. Its lean structure and singular focus stand in contrast to the sprawling research agendas at OpenAI, Google DeepMind, and Anthropic.

Why Nvidia keeps betting on AI infrastructure plays

Nvidia’s involvement here is strategic, not philanthropic. Every dollar invested in a company that needs massive GPU clusters is a dollar that eventually flows back to Nvidia through hardware purchases.

By backing AI projects that require substantial GPU resources, Nvidia simultaneously grows its customer base and validates the market for its most expensive products. SSI’s stated goal of increasing computing power tenfold, while not independently confirmed by public reports, aligns with Nvidia’s interest in accelerating demand for next-generation chips.

Alphabet’s participation is equally telling. Google already operates one of the world’s most advanced AI research labs in DeepMind, yet it’s willing to fund a potential competitor.

What this means for crypto and digital asset markets

SSI has no connection to crypto assets, blockchain protocols, or tokens. The company is positioned squarely within conventional AI infrastructure, and its investors are backing it on those terms.

For the growing ecosystem of crypto-native AI projects, tokens like FET, RENDER, and TAO that promise decentralized alternatives to centralized compute, SSI’s fundraise is both a validation and a challenge. It validates that AI compute is the most valuable resource in technology right now. But it also demonstrates that the biggest players in the industry are choosing centralized, well-capitalized structures over decentralized alternatives when it comes to frontier research.

Decentralized compute networks have carved out real niches in inference and smaller-scale training workloads. But superintelligence research, the kind SSI is pursuing, requires coordinated access to massive GPU clusters that current decentralized infrastructure simply cannot match.

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