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ANDROMEDA CLUSTER: 15 EXAFLOPS* FOR STARTUPS


 * 3,200 H100s on 400 nodes interlinked with 3.2Tbps infiniband
 * 432 H100s on 54 nodes interlinked with 3.2Tbps infiniband
 * 768 A100s for training and inference with 1.6Tbps infiniband
 * Available for experiments, training runs, and inference
 * You can queue training runs that use the entire cluster, or part of it, or
   just ssh in
 * Store data locally on NAS, or stream it in; no ingress/egress costs
 * No minimum duration and superb pricing
 * Big enough to train llama 65B in a week
 * Total mass of 4,862 kg (GPUs only; not counting chassis, system, rack)
 * For use by startup investments of Nat Friedman and Daniel Gross
 * Reach out if you don't have access, or login if you already have it

We also operate a marketplace for third-party GPUs at gpulist.ai.

* based on 3,958 teraFLOPS per H100 at FP8 with sparsity, your results may vary,
consult your doctor before beginning a new training routine