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.

Presenting you with a multi-tasking, all-in-one GPU, NVIDIA RTX 3090. So starting from Tensor cores to some awesome features like real-time ray facing, this GPU has it all. Solving research and data ...

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 ...

Databricks, corporate provider of support and development for the Apache Spark in-memory big data project, has spiced up its cloud-based implementation of Apache Spark with two additions that top IT’s ...

For more than a decade, Amazon Web Services has benefited from a powerful assumption shared across the tech industry: cloud ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...

Dublin, Nov. 28, 2025 (GLOBE NEWSWIRE) -- The "United States Graphics Processing Unit (GPU) Market Report by Component, Type, Deployment, Application, States and Company Analysis 2025-2033" report has ...