CoFeed

Meta

Simulator-based reinforcement learning for data center cooling optimization

We’re sharing more about the role that reinforcement learning plays in helping us optimize our data centers’ environmental controls.

Meta

Read Meta’s 2024 Sustainability Report

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Meta

RETINAS: Real-Time Infrastructure Accounting for Sustainability

We are introducing a new metric— real-time server fleet utilization effectiveness —as part of the RETINAS initiative to help reduce emission...

Meta

Aparna Ramani discusses the future of AI infrastructure

Delivering new AI technologies at scale also means rethinking every layer of our infrastructure – from silicon and software systems and even...

Meta

RoCE networks for distributed AI training at scale

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for traini...

Meta

DCPerf: An open source benchmark suite for hyperscale compute applications

We are open-sourcing DCPerf, a collection of benchmarks that represents the diverse categories of workloads that run in data center cloud de...

Meta

Maintaining large-scale AI capacity at Meta

Meta is currently operating many data centers with GPU training clusters across the world.

Meta

Building Meta’s GenAI Infrastructure

Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters.

Meta

Simple Precision Time Protocol at Meta

While deploying Precision Time Protocol (PTP) at Meta, we’ve developed a simplified version of the protocol (Simple Precision Time Protocol ...

Meta

A fine-grained network traffic analysis with Millisampler

What the research is:  Millisampler is one of Meta’s latest characterization tools and allows us to observe, characterize, and debug network...