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Ilya Sutskever’s Safe Superintelligence partners with Nvidia to scale its AI research
Ilya Sutskever's AI lab Safe Superintelligence (SSI) has emerged from two years of stealth to announce a long-term partnership with Nvidia, aimed at dramatically expanding its computing power. The deal gives SSI access to Nvidia's Vera Rubin GPU platform, expected to boost the startup's compute resources "by an order of magnitude", and comes as SSI, an AI safety-focused lab pursuing a slow, research-first approach, seeks to scale up after what Nvidia described as promising research milestones.
The agreement includes an undisclosed investment from Nvidia, already a backer of SSI, reportedly worth several billion dollars according to a source familiar with the deal. SSI, founded by former OpenAI chief scientist Sutskever after his departure following the failed attempt to oust CEO Sam Altman, has raised $7 billion to date and is valued at $32 billion, with investors including Andreessen Horowitz, Alphabet, Sequoia Capital and Google Cloud, which it also partnered with last year. The companies said they would collaborate further on developing Nvidia's future computing platforms using SSI's research insights.
In short
- SSI, Ilya Sutskever's AI safety lab, partners with Nvidia for more compute
- Deal includes multi-billion-dollar investment and access to new GPU platform
- SSI valued at $32bn, has raised $7bn since founding
Explained simply
Ilya Sutskever is a prominent artificial intelligence researcher who previously served as chief scientist at OpenAI, one of the world's leading AI research companies. He founded Safe Superintelligence (SSI), a new AI laboratory focused on developing artificial intelligence in a way that prioritises safety and careful research over speed.
Creating advanced AI systems requires enormous amounts of computing power. Nvidia manufactures the specialised computer chips that are essential for training large AI models, making it one of the most valuable companies in the world and a crucial player in the AI industry.
The race to develop advanced artificial intelligence has intensified significantly, with major technology companies and well-funded startups competing to build increasingly powerful systems. Securing access to hardware and computing resources has become essential for conducting cutting-edge AI research.