This article is part of a VB Special Issue called “Fit for Purpose: Tailoring AI Infrastructure.” Catch all the other stories here. Data centers are the backend of the internet we know. Whether it’s ...

Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...

Chipmaker Advanced Micro Devices Inc. has added to a string of recent acquisitions, buying a startup called MK1 that develops software to enhance the inference and reasoning capabilities of its ...

U.S. NVIDIA’s decision to supply 260,000 graphics processing units (GPUs) to the South Korean government and major companies has heightened expectations that the era of “physical (physical) AI” will ...

An unprecedented collaboration between NVIDIA and Oracle is set to redefine the frontier of scientific discovery. The companies are joining forces with the U.S. Department of Energy (DOE) to build the ...

Vultr, one of the largest privately-held cloud infrastructure companies, is marking a major milestone in its long-standing strategic collaboration with AMD to advance and scale AI workloads worldwide.

For most enterprises, high-end GPUs are not as essential as the providers want you to think. Old GPUs or CPUs often deliver sufficient cloud AI performance at drastically reduced costs. For years, the ...