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together-gpu-clusters

Skill

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 endp

0Hardware

Install

git clone https://github.com/togethercomputer/skills.git ~/.claude/skills/together-gpu-clusters

What is 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.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~76 tokens of context used while enabled, before you invoke anything

Documentation

README · ~2 min read

Together GPU Clusters

Overview

Use Together AI GPU clusters when the user needs infrastructure control instead of a managed inference product.

Typical fits:

  • distributed training
  • multi-node inference
  • HPC or Slurm workloads
  • custom Kubernetes jobs
  • attached shared storage and cluster lifecycle management

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