Nvidia Under discussion to invest According to a published report, he was hired by Elon Musk’s artificial intelligence (AI) startup.
Musk’s AI company xAI I’m looking forward to it The company is valued at about $40 billion and plans to raise billions of dollars, according to the New York Post. reported Friday (November 1st).
According to another report by The Information, Mr. Musk discussion Collaborates with technology and venture companies such as Sequoia Capital and Andreessen Horowitz and Vicapital.
Musk hopes for January xAI to hold major funding round that could bring valuation to $75 billiontwo people familiar with the matter told the Post..
and An Nvidia analyst, speaking to the newspaper on condition of anonymity, said xAI’s rivals would still buy chips from Nvidia even if they invested in Musk’s company.
“Otherwise, this deal will never move forward,” the analyst said.
PYMNTS has reached out to Nvidia for comment, but has not yet received a response.
xAi during its Series B round in May Raised $6 billionwhich received a pre-money valuation of $18 billion. the company said at that time New funding will help bring first products to market and develop advanced infrastructure and Accelerate research and development.
And in September, the company Colossus 100k H100 training cluster. Writing about it in X, Musk called it “the world’s most powerful AI training system.” Additionally, it will double in size to 200k (50k H200x) within a few months. ”
In other AI news, PYMNTS wrote last week: be Building systems with MIT spin-off Liquid AI current ability while using fewer neurons., development that It has the potential to reduce the enormous computing costs that have prevented many companies from investing in AI.
Liquid AI’s “Liquid Neural Network” requires only a few dozen neurons to guide a drone or vehicle. millions of Required For traditional AI systems. This technology is calculation ability Energy costs are holding some companies back from fully implementing AI technology.
“We have the potential to democratize the adoption of AI by making AI technology more accessible and affordable for companies across industries.” Jesal Ghadiahead of engineering at an AI company thoughtfulhe told PYMNTS.
“This affordability will enable even small businesses to implement AI solutions, leading to widespread innovation across a variety of sectors, increased efficiency, and reduced energy consumption. It reflects the transition we’ve been through. At first only select organizations could build and operate mainframes, but now computing is ubiquitous in everything from watches to cars.”
