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A RoCE network for distributed AI training at scale

Engineering at Meta

We ensure that there is enough ingress bandwidth on the rack switch to not hinder the training workload. The BE is a specialized fabric that connects all RDMA NICs in a non-blocking architecture, providing high bandwidth, low latency, and lossless transport between any two GPUs in the cluster, regardless of their physical location.

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Building Meta’s GenAI Infrastructure

Engineering at Meta

It played and continues to play an important role in the development of Llama and Llama 2 , as well as advanced AI models for applications ranging from computer vision, NLP, and speech recognition, to image generation , and even coding. Under the hood Our newer AI clusters build upon the successes and lessons learned from RSC.

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The WAN Accelerator and Modern Network Optimization

CATO Networks

While WAN optimization and acceleration are still important, increased bandwidth availability, cloud, and mobile have significantly shifted the paradigm. What is a WAN accelerator Simply put, a WAN accelerator is any hardware or software appliance that provides bandwidth optimization across a WAN. Here, well answer those questions.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Large files or low bandwidth. Application Servers. At this point, we store 1 DR copy in public cloud and 1 copy with us but eventually we will use our data center as a pass-through cache as compute is cheaper in the cloud but bandwidth is expensive. Document store. Video Transcoding. Permissions. Recommendations. Hybrid Sync.