Meta AI Research SuperCluster (RSC)
Meta uses RSC for AI research, including language, vision and speech models.
Meta AI Research SuperCluster (RSC) is an operational GPU cluster run by Meta. It has 16,000 NVIDIA A100 GPUs installed.
Facts
Source per value- Owner / operator Organization that owns or operates the GPUs. Hosting and facility roles are listed under Partners.
- Meta 1
- GPU maker NVIDIA, AMD or Intel, taken from the GPU model.
- NVIDIA 1
- GPU model Accelerator model or family as disclosed. A GH200 is one GPU on a superchip; an MI300A is an APU that contains a GPU.
- NVIDIA A100 1
- GPUs installed Physical GPUs in the cluster, from the operator or a deterministic sum of disclosed quantities (nodes × GPUs per node). Planned counts, H100-equivalents and unaudited press totals are never counted here.
- 16,000 1
- Location City, region and country where the cluster sits. Empty when the operator does not name the site.
- Not published
- Live power MW Power in service, in megawatts of IT load where the source says so. Company figures are marked in the notes; Epoch AI satellite estimates are labelled as estimates.
- Not published
- Status operational = running and named as such by the operator or a primary source; partly operational = a phase is live and more is coming; under construction = building underway; announced = disclosed or contracted with no confirmed go-live.
- operational 1
- Status notes The source’s wording on status, with the date.
- Still supporting AI research in March 2024 1
Sources
- engineering.fb.com accessed 2026-11-11
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