But for a few years until 2021, the company kept its roadmaps folded up in the front left inside pocket of co-founder and ...
NVIDIA shifted focus of GTC 2026 toward deploying AI inference apps across multiple industries, marking departure from its ...
Google's expanding Tensor Processing Unit (TPU) strategy is emerging as a serious challenge to Nvidia's long-running dominance in AI accelerators, particularly after a report from The Information ...
Nvidia reported $46.7 billion in revenue for fiscal Q2 2026 in their earnings announcement and call yesterday, with data center revenue hitting $41.1 billion, up 56% year over year. The company also ...
Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering, tightening ...
Nvidia’s Blackwell systems sales are “off the charts” according to CEO Jensen Huang, but analysts see fast growth for custom AI chips, known as ASICs. These smaller, cheaper, more narrowly focused AI ...
Over the weekend, Nvidia Corp (NASDAQ: NVDA) CEO Jensen Huang pushed back against growing market speculation that custom AI chips from cloud providers could overtake Nvidia's GPUs, calling the idea ...
Nvidia remains the king of AI infrastructure and is the cheaper stock. Broadcom has a big opportunity with AI ASICs and ...
What’s the difference between a GPU and a TPU? It’s a wonkish question, to be sure, but one that has a lot of interesting applications to the AI arms race, where companies are trying to be the go-to ...