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Why is InfiniBand so popular for building AInetworks? What about Ethernet for AI? Jeff Tantsura joins Tom Ammon and Russ White to discuss networks for AI workloads. link] download What are the requirements for running AI workloads over a data center fabric? What about Ethernet for AI?
To run AI workloads, a network needs thousands of GPUs and those GPUs must operate in sync. While there are advantages to using Ethernet for AInetworking (including engineers well-trained in the protocol and a robust ecosystem), it wasnt designed.
AInetworks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 The growing prevalence of AI has introduced a new era of communication demands.
Broadcom presented at Networking Field Day 32 on July 26, 2023 and they presented on their AINetworking solutions. These are products and architectures that address the needs of those building out AI data center focused networks. Obviously the design will work for regular data center workloads too.
This week's Network Break discusses a new Google offering to interconnect public clouds, NVIDIA's platform for AInetworking fabrics using Ethernet switches and DPUs, and Cisco's latest security acquisition.
If you are actively looking to build out AInetwork infrastructure and want to utilize white box, cost effective switching, one of the challenges you have is what software you will use to design, deploy, operate and manage those network switches, because doing that by hand via a CLI will not be fun.
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