Tim Miller, president of SkyScale, covers how GPU cloud computing is on the fast track to crossing the chasm to widespread adoption for HPC applications.

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

Hammerspace introduces Tier 0, a new tier of storage that transforms GPU computing infrastructure and accelerates time to value within AI and HPC.

CPUs are best for general-purpose computing and decision-making tasks. GPUs excel at parallel processing, making them ideal for graphics rendering and AI model training.

Amazon Web Services has just announced a new Elastic Compute Cloud (EC2) instance type, dubbed P2, which leverages NVIDIA GPUs (Graphics Processing Units) to offer customers massive amounts of ...

According to Nvidia, the new compiler source code "opens up" its CUDA parallel programming platform, allowing developers to more easily add GPU support for more programming languages.