Meta announces two 24k GPU clusters for Llama 3 training and AI infrastructure
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By Kevin Lee, Adi Gangidi, Mathew Oldham
Summary
Meta is announcing two large-scale 24k GPU clusters built for training AI models, specifically Llama 3. The post details the hardware (Grand Teton, OpenRack), network, storage, design, performance, and software stack (PyTorch) used to achieve high throughput and reliability. Meta emphasizes its commitment to open compute and open source, positioning this as a key step in its ambitious AI infrastructure roadmap through 2024.
Source
Twitter / XMeta announces two 24k GPU clusters for Llama 3 training and AI infrastructureengineering.fb.comKey quotes
· 5 pulledMarking a major investment in Meta's AI future, we are announcing two 24k GPU clusters.
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.
We are strongly committed to open compute and open source.
We built these clusters on top of Grand Teton, OpenRack, and PyTorch and continue to push open innovation across the industry.
This announcement is one step in our ambitious infrastructure roadmap.
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