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.

Record sales, a strong financial forecast, and CEO Jensen Huang’s impassioned arguments on his company's earnings call weren’t enough to push Nvidia shares back to their October high.

Nvidia to supply GPUs for xAI Saudi project as Brookfield assembles $100B AI infrastructure platform - SiliconANGLE

Nvidia (NVDA) shares rose 3.7% in extended trading on Wednesday after the semiconductor giant posted third-quarter results and guidance that were above Wall Street's forecast amid insatiable demand for artificial intelligence processors.

Nvidia ( NVDA +3.21%) is the most dominant player in the market for artificial intelligence (AI) chips by quite some distance. That's evident from the revenue that the chip designer generates from its data center segment each quarter, which is significantly more than its rivals generate in an entire year.

Directly into AI infrastructure: servers, storage, power and cooling systems, along with a vast quantity of chips to support Search, Ads, YouTube, Gemini, and

NVIDIA on November 19 posted record third-quarter fiscal 2026 revenue of $57 billion, up 22% sequentially and 62% year over year, driven by continued demand for accelerated computing and AI infrastructure. Data centre revenue rose to $51.2 billion, up 66% year over year.

Nvidia reported more eye-catching numbers for its fiscal third quarter Wednesday, with net income jumping 65% and revenue increasing 62% from a year earlier.

The AI computing power will be installed as part of Horizon, the largest academic supercomputer in the U.S. that will go online next year.

PowerColor chimes in on the heavily rumored price increases headed to the GPU market by saying now's the time to buy if you're looking for one.

Nvidia CFO Colette Kress pushed back on recent questions around the useful life of AI chips and the impact on depreciation costs. “The long, useful life of Nvidia’s CUDA GPUs is a significant TCO \[total cost of ownership\] advantage over \[rival\] accelerators,