deploy-linux-gpu
OfficialDeploy mesh-llm on remote Linux GPU nodes.
AuthorMesh-LLM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables deploying, installing, launching, and serving mesh-llm on remote Linux GPU boxes (rented GPUs like Vast.ai or RunPod, or self-managed CUDA servers), including CUDA build installation, model resolution, keeping the service alive under a supervisor, and verifying it serves.
Core Features & Use Cases
- Deploy mesh-llm locally on a remote Linux GPU box and join the public mesh for seamless inference routing.
- Install CUDA builds, manage supervisor/systemd integration, and ensure the service restarts on failure for reliable uptime.
- Use cases include single-node deployments for testing, multi-node mesh participation, and production-grade serving with auto-join.
Quick Start
SSH into the remote Linux GPU box and run the official installer to begin deployment and join the mesh.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deploy-linux-gpu Download link: https://github.com/Mesh-LLM/mesh-llm/archive/main.zip#deploy-linux-gpu Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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