The graphics processing unit, better known today as the GPU, did not begin as a pillar of supercomputing or the engine behind artificial‑intelligence chatbots. Its story starts in a smoky arcade where ...

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...

Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models. Chip manufacturers are producing a steady stream of new GPUs.

COMSOL Multiphysics version 6.4 accelerates engineering simulations and multiphysics models. Full GPU support across all ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...