together-gpu-clusters
On-demand and reserved GPU clusters (H100, H200, B200) on Together AI with Kubernetes or Slurm orchestration, shared storage, credential management, and cluster scaling for ML and HPC jobs. Reach for it when the user needs multi-node compute or infrastructure control rather than a managed model endpoint.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/together-gpu-clusters/SKILL.md
- skills/together-gpu-clusters/references/api-reference.md
- skills/together-gpu-clusters/references/cli.md
- skills/together-gpu-clusters/references/cluster-management.md
- skills/together-gpu-clusters/references/pricing-and-discovery.md
- skills/together-gpu-clusters/scripts/manage_cluster.py
- skills/together-gpu-clusters/scripts/manage_cluster.ts
- skills/together-gpu-clusters/scripts/manage_storage.py
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