Can Ethernet meet all the interconnect challenges for AI and ML?
In this video, Moray McLaren, Principal Engineer from Google, discusses:
– Ethernet has displaced many application-specific networks, but its suitability for ML depends on node characteristics
– Google’s TPU systems use a proprietary network based on Ethernet, incorporating features similar to Ultra Ethernet
– While Ethernet is likely the future for scale-out and host networks, latency-sensitive architectures may require alternative solutions for scale-up networks

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