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HN755: Optimizing Ethernet to Meet AI Infrastructure Demands

Packet Pushers

Ethernet competes with InfiniBand as a network fabric for AI workloads such as model training. In other words, AI workloads do best with a lossless network. And while Ethernet has kept up with increasing demands to support greater bandwidth and throughput, it was. Read more »

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A RoCE network for distributed AI training at scale

Engineering at Meta

AI networks 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 Distributed training, in particular, imposes the most significant strain on data center networking infrastructure.

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How Meta trains large language models at scale

Engineering at Meta

Supporting GenAI at scale has meant rethinking how our software, hardware, and network infrastructure come together. Solving this problem requires a robust and high-speed network infrastructure as well as efficient data transfer protocols and algorithms. requires revisiting trade-offs made for other types of workloads.

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NAN071: Understanding the Infrastructure Requirements for AI Workloads (Sponsored)

Packet Pushers

On todays Network Automation Nerds, we get into the infrastructure required to support AI workloads. We discuss key considerations including bandwidth, the substantial power and cooling requirements of AI infrastructure, and GPUs. This is a sponsored episode. This is a sponsored episode.

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Building Meta’s GenAI Infrastructure

Engineering at Meta

We are sharing details on the hardware, network, storage, design, performance, and software that help us extract high throughput and reliability for various AI workloads. Network At Meta, we handle hundreds of trillions of AI model executions per day. The other cluster features an NVIDIA Quantum2 InfiniBand fabric.

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Top Tips for Debugging and Optimizing NVIDIA Networking Performance

Router-switch

In today’s high-speed networking world, optimizing and troubleshooting performance is crucial, especially with high-performance equipment like NVIDIA Infiniband switches. Whether you’re a data center admin or network engineer, mastering effective techniques is key.