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 ...

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 ...

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 ...

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 ...

conda install -c conda-forge git cmake cython gdal h5py libgdal pytest numpy fftw scipy pybind11 shapely pip install opencv-python opencv has complex dependencies, which causes long delay to the conda ...

Powered by Supermicro’s GPU sever hardware, NVIDIA GPUs and Qubrid AI’s AI Controller Software, this on-prem solution ...

Amazon.com's cloud computing unit on Tuesday said it will offer free computing power to researchers who want to use its ...

Siemens, a leading technology company, announced the launch of a new line of Industrial PCs (IPCs) equipped with NVIDIA’s ...