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 ...

Nvidia has revealed an Arm-based data center CPU for AI and high-performance ... support by Nvidia’s HPC software development kit and its full suite of CUDA and CUDA-X libraries, according ...

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 ...

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 ...

This is about partners understanding Nvidia’s software architecture, from [the] CUDA [parallel programming ... software and cloud technologies to build out AI, HPC and simulation Centers of ...

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 ...

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 ...

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 ...

Goldman Sachs analysts maintained a Buy rating on Nvidia ... for AI-related computing and networking. Positive momentum from ...

The B200, made for high-performance computing (HPC) and data center use ... rumors of a GPU referred to as Titan AI. Just as in the Lovelace generation, Nvidia didn’t end up using the whole ...