News
Here’s a look at Nvidia’s path to where it is today, from creating hardware for the gaming industry to designing the chips ...
Ian Buck helped secure Nvidia's market advantage by masterminding CUDA. What he does next is just as vital to the future of ...
Nvidia's dominance stems from its unique CUDA ecosystem, combining hardware and software. Click here to find out why I would ...
1don MSN
Nvidia, with its projected 9% annual returns, offers what's become rare in technology: Scale, certainty, and sustained ...
CUDA Cores shine the brightest when handling tasks that benefit from parallel computation. Tensor Cores use AI to upscale ...
In 2026, AMD will release its next-generation MI400 series AI accelerators. The company claims that the flagship MI400X will ...
Alice & Bob, a global leader in the race for fault-tolerant quantum computing, announced today at GTC Paris the ongoing ...
The new Nvidia GeForce RTX 5090 DD graphics card reportedly has the same gaming GPU as the standard version, but with 8GB ...
NVIDIA reportedly working on a new GeForce RTX 5090DD for China with 24GB GDDR7 memory at 28Gbps, 575W TDP, same GPU core ...
Quantum Art a developer of full-stack quantum computers, has integrated Nvidia's CUDA-Q hybrid quantum-classical platform ...
10don MSN
Jensen Huang is not on board with some of Anthropic CEO Dario Amodei’s predictions about advanced AI. Responding to a ...
Will Nvidia continue to lead in AI? 1. AI Infrastructure Dominance: Nvidia controls an estimated 80% of the AI accelerator market through its H100/H200 GPUs and CUDA software ecosystem. It is tough ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results