Several bug fixes in all components, listed in the release notes, and some new features in WS-GRAM and MDS.
The rest is on Ian Foster’s blog.
In this interview, Kikozashvili looks at DriveNets’ AI Ethernet solution that is used as a back-end network fabric for large GPU clusters and storage networking solution and how it supports the high-performance Ethernet alternative to InfiniBand.
Breakthrough Data Center Universal Accelerator for Efficient Video, AI, and Graphics The NVIDIA Ada Lovelace architecture L4 Tensor Core GPU is NVIDIA’s most compact data center accelerator for use in mainstream PCIe-based servers and is an ideal means of adding GPU acceleration to CPU-based systems. Delivering universal acceleration and energy efficiency for video, AI, virtual […]
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