Alphabet and Nvidia have joined the leading venture capital firms in supporting Safe Superintendent (SSI)-a startup co-installing by the former OpenII’s chief scientist Ilya Satskewar.
Within the months of its launch, SSI rapidly became one of the most valuable AI startups, and recently a price of $ 32 billion, Reuters said citing conscious sources about the matter.
Tech giants grow up on AI
Funding shows renewed interest from Big tech and infrastructure providers, which require large -scale computing power to make strategic investments in state -of -the -art startups.
The alphabet, which has its own AI models, announced to sell its cloud computing arm to Tensor Processing Units (TPU), its in-house AI chips in the first week.
SSI is priced at $ 32 billion
SSI, which sources say that recently under the leadership of Greenox had a price of $ 32 billion, AI model is one of the highest-profile startups working on research, thanks to Sutleskewar’s staller track record in predicting the next big thing in AI development.
Like many of its contestants, it has great demand for chips.
However, there was no information about the accurate terms of the investment of alphabet and NVidia in SSI Roots,
High-profile AI labs, including SSI and Anthropic, show the developed AI hardware strategy of the developed Moves Tech Giants by the corporate and cloud division of the alphabet.
Google’s strategy
Google is originally reserved for in-house use. The deal to sell SSI Chips in significant quantity to support your frontier AI research reflects the company’s ongoing strategy to expand sales to outdoor customers, Darren Mawri, a managing director in charge of Google’s partnership with startups, said in an interview with Reuters this week.
“With these basic model builders, gravity is dramatically growing on us,” he said.
AI developers have historically preferred NVidia graphics processing units, which are more than 80% of the AI ​​Chips market.
But SSI has so far mainly using TPU instead of GPU for its AI research and development, two sources said.
Google offers both Nvidia GPU and its own TPUS through its cloud service. Its own chips are meant to excel in specific AI functions and are more efficient than normal-provided GPUs. These chips have been used to create a large -scale AI model, such as Apple and Ethropic, an OPENAI contestant, which has received billions of dollars funding from Google and Amazon.
A Challenger for Amazon Google and NVIDIA?
Google and NVIDIA also face a challenge in Amazon, creating their own competitive processors, called Trainyum and Infantia. Amazon has stated by 2023 that anthropic will develop its technology on those chips. In December, the tech veteran said that Anthropic would be the first customer to use a large -scale supercomputer operated by hundreds of thousands of chips.
Meanwhile, Anthropic continues to use TPU for its AI development and has not reduced the expenditure on Google’s chips, two sources said.
It is rapidly common for major cloud providers to make heavy investments in AI startups that not only create basic models, but also serve as important customers of their infrastructure. For example, both Amazon and Google have invested in anthropic, while Microsoft has made sufficient bets on Openai. NVIDIA has also supported Openai, as well as Elon Musk’s XAI.
(With input from Reuters)
