The data analytics software provider has repackaged existing products to help data scientists manage the full AI lifecycle on ...

Nvidia CEO Jensen Huang announced an ambitious plan to multiply Europe's AI computing capacity tenfold over the next two years by constructing 20 new "AI factories" in partnership with local tech ...

Nvidia unveiled its next-generation DGX SuperPOD AI infrastructure at GTC 2025, powered by Blackwell Ultra GPUs. Engineered for agent-based AI inference, the system provides enterprises with ...

Asus Asus has introduced the Ascent GX10, a mini supercomputer designed for AI and machine learning workloads. The system is powered by Nvidia’s GB10 Grace Blackwell Superchip, making it a ...

Nvidia said it will become the first organization to leverage Google DeepMind’s SynthID, which directly embeds digital watermarks into AI-generated images, video and text.

Enterprises can use new NVIDIA DGX™ GB300 and NVIDIA DGX B300 systems, integrated with NVIDIA networking, to deliver out-of-the-box DGX SuperPOD AI supercomputers that offer FP4 precision and ...

Now, in a box that appears to be about the size of a Mac mini, Nvidia's Project Digits PC promises to bring a petaflop of AI performance to your desktop. A petaflop, for those of you who don't ...

Inside, this little AI box has a whopping 128GB of unified memory. Nvidia says the GB10 delivers 1 petaflop of AI performance, but if that's not enough, you can link two of them together.

I’m chatting with Nvidia CEO Jensen Huang at the chip giant’s Silicon Valley headquarters, where one of its DGX H100 computing modules sits partially disassembled before us.

But it was very much the AI and data center segments that pushed NVIDIA to new heights. It saw a record $10.32 billion in revenue in that sector alone, up 141 percent from Q1 2023 and 171 percent ...

Privately-held Bright is a favorite of HPC users, and will reinforce NVIDIA’s strategy of providing full-stack solutions for Enterprise HPC and AI. Bright Computing has been around since 2009 ...

In 2019, NVIDIA GPUs were deployed in 97.4 per cent of AI accelerator instances – hardware used to boost processing speeds – at the top four cloud providers: AWS, Google, Alibaba and Azure.