Chen Tianshi, cofounder of Chinese chip company Cambricon Technologies, saw his net worth soar to $10 billion after the ...

Amazon Web Services and Google Cloud rely heavily on Nvidia GPUs for AI infrastructure, while Microsoft too is a large buyer ...

But before you get too excited about the prospect of a small form factor desktop outperforming Nvidia’s A100 tensor core GPU, ...

As Chinese companies cannot get enough Nvidia GPUs, they turn to domestic alternatives for AI processors. As a result, ...

Jensen Huang unveiled the company's most ambitious consumer tech lineup with AI computers, agents and the new GeForce RTX 5000 Series GPUs.

GPUs in that ballpark from Nvidia are typically reserved for data centers; see the B100, H100, A100, and V100 accelerators. Nvidia normally sticks with smaller chips for its mainstream family and ...

Nscale, a London-headquartered AI hyperscaler, has unveiled plans to invest an impressive $2.5 billion (£2 billion) in the UK ...

A quirky gaggle of startups that host and rent the chips that power AI tools have gone on a fundraising spree over the last year.

Diffbot’s large language model is not like typical AI models, which are trained on vast databases. Instead, it’s trained on a ...

DeepSeek, which in late November unveiled DeepSeek-R1, an answer to OpenAI’s o1 “reasoning” model, is a curious organization.

Perhaps no document has ever had a more appropriate title than the “Interim Final Rule on Artificial Intelligence Diffusion” ...

The platform supports a wide range of GPUs, including NVIDIA T4, P4, V100, and A100, making it ideal for deep learning and other GPU-accelerated applications. Azure is another cloud platform that ...