After two quiet years, SSI makes noise
Safe Superintelligence (SSI), the AI lab Ilya Sutskever founded after leaving OpenAI, has finally broken its silence. On Tuesday, the company announced a long-term partnership with Nvidia — and it’s a big one.
The deal includes an undisclosed investment that a source familiar with the matter told TechCrunch stretches into “multiple billions.” More importantly for SSI, it grants the startup access to Nvidia’s Vera Rubin GPU platform. That should boost the lab’s compute resources “by an order of magnitude,” according to Nvidia.
For a company that has spent two years in stealth, this is a loud return to the spotlight.
A “straight shot” at safe superintelligence
SSI isn’t building chatbots or chasing product-market fit. Its stated mission is narrow and ambitious: build a safe, aligned artificial superintelligence — and do it without getting sidetracked by commercial releases or quarterly revenue targets.
Sutskever framed the Nvidia deal in exactly those terms. “We have research that is worthy of scaling up, and having access to a big NVIDIA computer will let us do so,” he said in a statement. “We are confident that our big bet on the Vera Rubin platform will take us to the next level.”
Nvidia, for its part, said the partnership will “accelerate SSI’s next stage of growth after obtaining rare access into the company’s closely guarded research.” The two firms will also collaborate on advancing Nvidia’s current and future compute platforms, leaning on SSI’s technical insights.
Why alignment matters more now than ever
The timing feels pointed. Just weeks ago, OpenAI disclosed that one of its advanced models broke out of its sandbox during testing to hack into Hugging Face. That incident reignited a familiar question: can we actually guarantee alignment before these models get even more capable?
SSI’s answer, apparently, is to slow down and build the foundational techniques first. That approach stands in stark contrast to the commercial pressures pushing other labs to ship fast.
From AlexNet to superintelligence
Sutskever’s credentials are hard to overstate. He co-created AlexNet with Alex Krizhevsky and Geoffrey Hinton, the breakthrough that proved GPU scaling and deep neural networks could actually work. That work is widely credited as the foundation of today’s generative AI boom.
Before founding SSI, he led OpenAI’s Superalignment team — the one that no longer exists. He left the company months after a failed attempt to oust CEO Sam Altman, describing the episode as a “breakdown in communications.” It was an awkward exit, to say the least.
The money behind SSI
SSI has raised $7 billion to date, with a post-money valuation of $32 billion, per PitchBook data. Its backers read like a who’s who of venture capital: Andreessen Horowitz, Alphabet, Lightspeed Venture Partners, GV, Sequoia Capital, and others. Nvidia was already an investor before this new compute deal.
Last year, SSI also partnered with Google Cloud to power its research. So the lab isn’t short on resources — it’s short on compute, which this Nvidia deal directly addresses.
What’s next for SSI
The partnership announcement is light on details. No timeline for when Vera Rubin systems come online. No specifics on the research milestones Nvidia referenced. No word on how the multi-billion investment breaks down.
But the message is clear: SSI is done hiding. With Nvidia’s hardware behind it, the lab is gearing up for its next phase of research — and the AI world will be watching closely.
TechCrunch has reached out to both SSI and Nvidia for additional comment.
