Search GPUs deployed worldwide, launch containers on bare metal, and drive the API gateway — one command surface, scriptable end to end.
$ linkhome search offers 'gpu_name=H200 num_gpus>=4 reliability>0.99' -o dph --limit 4
ID GPU NUM VRAM $/HR PERF REGION
847291 H200 4 564GB $3.53 99.1 US-West
851003 B200 4 768GB $4.95 99.4 US-East
849177 RTX PRO 6000 WS 8 768GB $1.07 97.8 EU-West
843320 RTX 5090 8 256GB $0.41 96.2 US-Central
$ linkhome create instance 847291 --image nvcr.io/nvidia/pytorch:24.01-py3 --disk 128 --ssh
{"success": true, "instance_id": 9841205}
Query the marketplace by GPU model, VRAM, price, reliability, region, interconnect and 20+ other fields. Sort by performance-per-dollar.
Run any Docker image on bare-metal GPUs. Pass environment variables, expose ports, mount volumes. SSH and Jupyter included.
Instances, volumes, templates, API keys, billing and gateway usage — all from one command surface, all scriptable.
$ pip install linkhome
$ linkhome set api-key YOUR_API_KEY
✓ Authenticated as acme-labs
Requires Python 3.9+. Also available via pipx for an isolated install, and as a static binary for CI runners.