Together AI GPU Clusters Skill for Claude Code

What it is

The Together AI GPU Clusters skill teaches Claude Code how to use Together AI's GPU cluster API. Once installed, Claude Code can provision on-demand and reserved clusters of H100, H200, and B200 GPUs for large-scale model training and distributed inference. The skill provides the agent with API knowledge, parameter schemas, and best practices for cluster management.

ML engineers running large training jobs, teams needing burst GPU capacity, and organizations evaluating GPU cloud providers will find this skill useful for managing Together AI infrastructure directly from their development environment.

How it saves time or tokens

Managing GPU clusters typically requires navigating cloud dashboards, writing infrastructure scripts, and reading API documentation. This skill embeds the Together AI GPU API knowledge directly into Claude Code, so you can describe your compute needs in natural language and the agent generates the correct API calls. It handles cluster sizing, pricing tier selection, and configuration details without manual documentation lookup.

How to use

1. Install the skill:

npx skills add togethercomputer/skills

1. Start Claude Code in your project.
2. Ask the agent to provision GPU resources:

> Provision an 8xH100 cluster for a 70B model training run
> List my active GPU clusters and their costs
> Reserve 4xB200 GPUs for next month

Example

# Install the skill
npx skills add togethercomputer/skills

# In Claude Code session:
> I need to fine-tune a 13B parameter model.
  What GPU cluster configuration do you recommend on Together AI?

# The agent will:
# - Recommend cluster size based on model parameters
# - Show pricing for on-demand vs reserved options
# - Generate the API call to provision the cluster
# - Explain monitoring and teardown procedures

Related on TokRepo

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Common pitfalls

• GPU clusters incur costs immediately upon provisioning. Always confirm pricing and set auto-shutdown policies before launching clusters.
• Reserved instances require commitment periods. Understand the reservation terms before switching from on-demand to reserved pricing.
• The skill teaches Claude Code the API but does not manage billing. Monitor your Together AI dashboard for usage and cost tracking.