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.

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 ...

Nvidia announced that it’s acquiring Run:ai, an Israeli startup that built a Kubernetes-based GPU orchestrator. While the price is not disclosed, there are reports that it is valued anywhere between ...

Conrad Sanderson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Samsung is preparing a major shift with the Exynos 2800, set to debut in 2027 as the company’s first chipset featuring a fully in-house GPU, reducing reliance on external graphics architectures.