In this video from LUG 2013, Nathan Rutman from Xyratex presents: Lustre Contribution Model.
Download the slides (PDF). Check out more presentations at our LUG 2013 Video Gallery.
Ethernet wasn’t built with AI in mind. While cost-effective and ubiquitous, its best-effort, packet-based nature creates challenges in AI clusters… But fabric-scheduled Ethernet transforms Ethernet into a predictable, lossless, scalable fabric – ideal for AI. It uses cell spraying and virtual output queuing ….
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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