Tech giants go big: Entrepreneurship report by NVIDIA Alphabet Investment Openai co-founder Sutskever

Alphabet and Nvidia have joined the large venture capital firm Supporting Security Super Intelligence (SSI) – a startup founded by former OpenAI chief scientist Ilya Sutskever.

According to Reuters, SSI quickly became one of the most valuable AI startups in the months since its launch, with a recent estimate of $32 billion.

Technology giants are big in AI

This funding demonstrates a renewed interest in large-scale technology and infrastructure providers in developing strategic investments in cutting-edge AI that requires a lot of computing power.

Alphabet, which owns its own AI model, announced a deal for its cloud computing division earlier this week to bring SSI access to quandary tensor processing unit (TPU) (its internal AI chip).

SSI is worth $32 billion

Sources say SSI is one of the most well-known startups working on AI model research at a recent valuation of $32 billion in a round led by Greenoaks, thanks to Sutskever’s outstanding track record in predicting the next big thing in AI development.

Like many competitors, it has a huge demand for chips.

However, there is no information on the letters and the exact terms of NVIDIA’s investment in SSI. Reuters.

The twins are mobile by Alphabet’s corporate and cloud divisions, which include high-profile AI labs for SSI and anthropology, while the Anthropic Show The Tech giant’s growing AI hardware strategy.

Google’s strategy

The TPU that Google originally reserved is for internal use. Darren Mowry, managing director of Google’s partnership with startups, said in an interview with Reuters this week that the deal to sell SSI chips is a deal that supports its cutting-edge AI research, a strategy the company is doing to expand sales to external customers.

“With these basic model builders, gravity has increased significantly to us,” he said.

AI developers have always favored NVIDIA’s graphics processing unit, which accounts for more than 80% of the AI ​​chip market.

So far, SSI has mainly used TPUs rather than GPUs for AI research and development, two sources said.

Google offers NVIDIA GPUs and their own TPUs through its cloud services. Its own chip is designed to perform well on specific AI tasks and is more effective than a general purpose GPU. These chips have been used to build large-scale AI models such as Apple and Anthropic, an OpenAI competitor that has received billions of dollars in funding from Google and Amazon.

Amazon is a challenger to Google and Nvidia?

Google and Nvidia are also facing Amazon’s challengers, who are building their own competitive processors called Trainium and Pebleentia. Amazon said as early as 2023 that humans will develop their technology on these chips. The tech giant announced in December that anthropomorphism would be the first to use a large number of supercomputers, with the client powered by hundreds of thousands of chips.

At the same time, humans continue to use TPUs for AI development and have not reduced their spending on Google chips, two sources said.

It is becoming increasingly common for major cloud providers to invest heavily in AI startups that not only build basic models but are important customers of their infrastructure. For example, Amazon and Google have invested in a lot of people, while Microsoft has made a lot of bets on Openai. Nvidia also supports Openai and Elon Musk’s Xai.

(with Reuters input)