The company said this year that it is on track to double its data center-related orders to $3 billion in the three years through 2027.
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Advisors see some buy-the-dip potential, many are taking a measured approach, weighing the asset class’ illiquidity and performance.
Like phones and laptops, artificial intelligence data centers have to be kept below a certain temperature to keep running.
Nvidia’s performance underlines the key questions facing seemingly the entire stock market right now, both inside and outside the AI trade.
As the rest of Big Tech embark on one of the greatest capex ventures in human history, Apple is practically spending pennies by comparison.
The good times may not last as the dynamic between AI firms and utility companies draws bipartisan scrutiny.
The bank assigned overweight ratings to Cipher Mining and TeraWulf and a more cautious underweight rating to Marathon Digital.
Both companies announced capex projections that blew past consensus expectations, but only Meta seemed to rebuff the Wall Street wariness.
US factory activity contracted for the tenth straight month in December, according to the latest Institute for Supply Management survey.
Bank of America analysts forecast S&P 500 earnings will grow 14% next year, and sees the index reaching 7,100.
The Chinese government has discouraged companies and government-funded data centers from buying Nvidia’s chips.
Deals with Meta, Nvidia and Softbank underscore concerns that Oracle is overexposed to a possible AI bubble.
Gemini was trained on Google’s in-house chips, which look like a cheaper and more efficient alternative to Nvidia’s cutting-edge products.
Wall Street’s smart money is starting to take out some short positions on the AI trade, albeit mostly around the industry’s fringes.
Sam Altman has begun floating the idea that the company could hit $100 billion in revenue by 2027, ahead of previous projections.
Qualcomm, known for smartphone semiconductors, announced a pair of AI accelerator chips set to hit the market in 2026 and 2027.