voltage-park

Provision and manage Voltage Park H100 GPU instances. Use when the user needs to spin up H100s, SSH into VP instances, transfer files, or terminate cloud GPU instances.

$ インストール

git clone https://github.com/Infatoshi/CLAUDE.md /tmp/CLAUDE.md && cp -r /tmp/CLAUDE.md/skills/voltage-park ~/.claude/skills/CLAUDE-md

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: voltage-park description: Provision and manage Voltage Park H100 GPU instances. Use when the user needs to spin up H100s, SSH into VP instances, transfer files, or terminate cloud GPU instances.

Voltage Park H100 Management

Permissions

NEVER provision without explicit permission
ASK before spinning up H100s when blocked on GPU tasks
Do NOT auto-terminate - user may run multi-hour experiments

API

Token: $VP_API_TOKEN in ~/.env_vars Base: https://cloud-api.voltagepark.com/api/v1

Endpoint	Method	Path
Availability	GET	/virtual-machines/instant/locations
Provision	POST	/virtual-machines/instant
List	GET	/virtual-machines/
Terminate	DELETE	/virtual-machines/{id}
Power	PUT	/virtual-machines/{id}/power-status
Ports	POST	/virtual-machines/{id}/port-forward

Provision body: {"config_id":"X","location_id":"X","organization_ssh_keys":{"mode":"selective","ssh_key_ids":["X"]},"name":"X"}

Defaults

SSH user: user
Location: a3111bd4-550a-47d0-838a-0a52bff2ae3f
OS: TensorML 24 Everything
CUDA: /usr/local/cuda-12.6/bin

SSH Keys (auto-select by hostname)

Host	ID
macbook-pro	`4419ce92-a31a-40a2-b1da-73de608252ad`
theodolos	`fb384362-d726-4498-b9aa-d636d660f930`

Presets

GPUs	ID
1x H100	`c6fd6253-cbb6-4ea8-a20c-47644b431f1c`
2x H100	`928dc7be-5236-49a7-9d7d-c01ba6d783f5`
4x H100	`2470d2d9-347a-4186-884d-bd0350ace4e3`
8x H100	`404645e3-4677-4f48-b023-15baaa6621e1`

SSH

ssh -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null -i ~/.ssh/id_ed25519 -p <PORT> user@<IP>

Setup (fresh instance)

source /opt/anaconda3/etc/profile.d/conda.sh && conda activate base
curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env

Available: nvcc, conda, PyTorch 2.5.1, git. Missing: cmake, pip3, uv.

File Transfer

scp -P <PORT> -i ~/.ssh/id_ed25519 <LOCAL> user@<IP>:<REMOTE>
rsync -avz --progress -e "ssh -i ~/.ssh/id_ed25519 -p <PORT>" <SRC> <DST>

Data Persistence

WARNING: Instances are EPHEMERAL - download results before terminating. Stopping preserves data but costs storage.