Scion Asset Management founder Michael Burry, the original “Big Short,” is back at it, questioning whether Nvidia’s explosive growth reflects sustainable demand. Nvidia CEO Jensen Huang argues the boom is far from over, while Burry feels we’ve been here before.

Rising memory prices are putting serious pressure on GPU makers, and the budget graphics-card segment may be the first casualty. AMD and Nvidia are reportedly considering cuts that could reshape the entry-level market.

Michael Burry of "The Big Short" is lighting up social media after betting against Nvidia and Palantir and casting doubt on the AI boom.

Chip giant Nvidia has reported stronger-than-expected revenues, easing investor concerns about heavy artificial intelligence (AI) spending that have unsettled markets.

Nvidia shares were initially up after an earnings report that included raised revenue guidance for the next quarter. But shares closed 3% lower.

The numbers couldn’t have come at a better time for Nvidia’s new infrastructure partners Brookfield and the Kuwait Investment Authority, which this week unveiled plans to amass a $100 billion portfolio of physical assets that underpin the delivery of AI, including AI factories, power stations and data centers.

Wall Street forecasts another booming quarter of growth for Nvidia’s AI chip business. Here are the crucial numbers to watch when the tech giant releases results after the market close on Wednesday: Revenue: Expected to rise 56% from a year earlier to $54.

Prosecutors have accused Brian Raymond, founder of AI infrastructure and consulting company Bitworks, and three others of selling coveted Nvidia chips to unspecified Chinese companies.

Computer chip maker Nvidia is at the head of the artificial intelligence revolution. Its results are a positive sign of where markets — and the economy — could go next.

Nvidia's latest move in this space was in late October, when it introduced NVQLink. This product connects quantum processors with graphics processing unit (GPU)-powered AI supercomputers, allowing companies and researchers to build hybrid quantum-classical computers. Nvidia is the leader in AI-enabling GPUs.