---
title: "Former OpenAI Chief Scientist Receives \"Heavyweight\" Investment from NVIDIA; Safe Superintelligence Achieves Leap in Computing Power"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/293940841.md"
description: "NVIDIA has made a significant bet on SSI, a mysterious AI laboratory founded by Ilya Sutskever, former chief scientist at OpenAI, reaching a long-term computing power partnership that boosts its computational capacity by an order of magnitude. This not only signals accelerated research prospects for SSI but also demonstrates NVIDIA's strategy of securing top-tier global AI labs through an \"investment + GPU\" model, further solidifying its dominance in AI computing power"
datetime: "2026-07-27T19:21:07.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/293940841.md)
  - [en](https://longbridge.com/en/news/293940841.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/293940841.md)
---

# Former OpenAI Chief Scientist Receives "Heavyweight" Investment from NVIDIA; Safe Superintelligence Achieves Leap in Computing Power

NVIDIA is betting on one of the most mysterious startups in the AI sector, further consolidating its core position in the global AI computing landscape.

**NVIDIA announced a "significant" investment in Safe Superintelligence (SSI), an AI laboratory founded by Ilya Sutskever, former chief scientist at OpenAI, with both parties simultaneously reaching a long-term cooperation agreement.**

Under the agreement, SSI will gain access to substantial resources of NVIDIA's flagship GPUs, with its computing power expected to increase by "an order of magnitude." Previously, the company primarily relied on Tensor Processing Unit (TPU) chips from Alphabet, Google's parent company.

This investment not only injects critical computing support into SSI but also marks another strategic victory for NVIDIA in securing top-tier clients during the AI boom. For the market, this collaboration implies that SSI's research progress could accelerate significantly, while NVIDIA extends its reach further into the most cutting-edge and closely watched AI research institutions.

## NVIDIA Bets Again on OpenAI-Era Entrepreneurs

NVIDIA decided to complete this "significant" investment after receiving rare internal disclosures regarding SSI's research progress, though the specific amount was not disclosed.

This is not the first time NVIDIA has adopted this approach. **In March this year, NVIDIA reached a similar investment agreement with Mira Murati, another former OpenAI executive and former chief technology officer.** Murati co-founded Thinking Machines Lab last year, which released its first AI model trained on NVIDIA hardware earlier this month.

Both deals follow the same logic: NVIDIA binds star entrepreneurs through strategic investments, ensuring high-profile customers prioritize its chips in the AI arms race while suppressing competitors.

## SSI: A Mysterious Laboratory Valued at $30 Billion

SSI was co-founded by Sutskever in 2024 with a highly focused positioning—the company publicly states it has only one goal: to pursue "safe superintelligence" in a "straight-line sprint," defined as an AI system capable of performing all human tasks without posing a threat to humanity.

Leveraging Sutskever's reputation in the industry, SSI rapidly raised approximately $2 billion from top-tier venture capital firms such as Andreessen Horowitz and Sequoia Capital, achieving a valuation of around $30 billion last year. Despite this, the company remains highly secretive, with its research results rarely disclosed to the public.

In a statement, Sutskever noted that the company's research "focuses on neglected aspects of human brain function." This collaboration with NVIDIA represents one of SSI's most substantive public developments to date.

## Sutskever: From Founder of the AI Revolution to Independent Explorer

Born in the former Soviet Union and raised in Israel, Sutskever is a mathematical prodigy. During his graduate studies in Canada, he studied under Geoffrey Hinton, a Nobel laureate and pioneer in AI research. In 2012, he co-authored a landmark paper in computer vision with Hinton, demonstrating that scaling deep neural networks with massive data and computing power yields quantifiable improvements in intelligence, thereby igniting the modern AI race.

Subsequently, Sutskever joined Google and became a co-founder of OpenAI in 2015. **During his tenure at OpenAI, his research insights directly drove the birth of ChatGPT, and he gained fame for his firm belief that "scaling up training data and computing power will lead to Artificial General Intelligence (AGI)."**

However, his relationship with OpenAI CEO Sam Altman ultimately ended dramatically—he voted to dismiss Altman and left the company months after Altman's reinstatement. Since leaving OpenAI, Sutskever has begun to question, in rare public statements, whether simply scaling existing paradigms is sufficient to achieve true breakthroughs.

## The Chip Giant's Logic Behind the Computing Power Battle

The deeper background of this collaboration lies in the increasingly competitive landscape of the AI chip market. SSI's previous reliance on Google TPUs and its current shift to NVIDIA GPUs hold significant symbolic meaning for NVIDIA—it is not just an investment return but also a victory in securing an influential client in the computing power struggle against competitors like Google.

For SSI, an "order of magnitude" increase in computing resources signifies a qualitative leap in its research capabilities, potentially accelerating the pursuit of its safe superintelligence goals. In the current AI race, the ability to access computing power often directly determines the speed and depth of research progress.

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