Nvidia GPUs are only relatively easy to program today because of the enormous amount of work that Nvidia has done to create the CUDA programming environment ... craze but when it became apparent that ...

The high-performance computing system built by xAI, featuring 100,000 Hopper GPUs, is named Colossus. The system utilizes the company's Spectrum-X networking platform instead of InfiniBand, which ...

EPYC can reach clock speeds of up to 5 gigahertz—a big boost for some HPC and AI workloads ... ROCm 6.0 software stack (competing with Nvidia’s CUDA). Over the following few quarters, AMD ...

There are also more specialized components, such as the Nvidia Morpheus framework for building AI-powered cybersecurity software. The suite is complemented by two other software products: HPC-X ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage ... to investigate. CUDA-x is helping data science. Nvidia also said Polars ...

This simplifies the implementation of NVIDIA systems for AI inference workloads. CUDA-X Libraries are built on the CUDA platform. They are a collection of software that enables developers to ...

As concerns over AI energy consumption ... exponentially and, he said, Nvidia’s accelerated computing is helping to address this. This all begins with Cuda libraries, which the company developed ...

going head-to-head with both Nvidia and Intel on AI training and inference, but more importantly, they put that message in context with pre-existing workloads, still showing eye-popping results on ...

According to rumors, Nvidia is not expected to deliver optical interconnects ... The GPUs – or indeed any kind of AI or HPC accelerator – are banked together so they can share local data in their ...

Throughout the event, AMD indirectly made references to rivals such as Nvidia and Intel by emphasizing ... “With the HP EliteBook X Next-Gen AI PC, we are empowering modern leaders to push ...