However, beneath these headline figures lies a captivating and surprising trend: Nvidia’s six-year-old Ampere (A100) chips ...

Nvidia wants to be in your next laptop, not just your data center.

Institutional participation remains broad, reflecting sustained allocation interest in semiconductor leadership themes NVIDIA ...

Nvidia now controls over 90% of the discrete GPU market, and most of the world's top AI companies use its GPUs to train their ...

Analysts say Intel’s success will hinge less on hardware and more on overcoming entrenched software lock-in and buyer inertia. Intel is making a new push into GPUs, this time with a focus on data ...

Nvidia holds a dominant share of the data center GPU market. The company's extensive library of developer tools provides a powerful competitive advantage. Nvidia is pricey by some metrics, but isn't ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as Google’s Gemini 3 and Anthropic’s Claude ...

Working on Heterogeneous programming model with focus on GPUs. (Views are my own, not my employer’s) ...

A GPU-accelerated N-body gravitational simulation demonstrating 13,000× speedup over CPU baseline through CUDA parallel computing. This project showcases GPU programming techniques using Python with ...

Nvidia CEO Jensen Huang’s keynote at NVIDIA’s GTC conference in Washington D.C. was a sweeping celebration of American innovation and a call to action for America to lead the AI revolution. NVIDIA at ...