Start an OpenClaw, PicoClaw, or ZeroClaw instance, then connect Quantigrid inference or your own endpoint (OpenAI, Anthropic, Ollama, custom URL). If you just need raw horsepower, buy GPU/CPU compute directly.
# 1) pick your stack
POST /api/v1/provision { "product": "openclaw", "size": "starter" }
# 2) attach endpoint (ours or yours)
POST /api/v1/endpoint { "provider": "quantigrid" | "openai" | "anthropic" | "ollama" | "custom" }
# 3) live in ~90s
{ "status": "ready", "ssh": "ssh root@...", "dashboard": "https://..." }
Clarity first. ClawdCompute’s default path is: launch private agent → connect inference endpoint → scale with Quantigrid CPU/GPU as usage grows.
OpenClaw (full), PicoClaw (lean), or ZeroClaw (minimal/base). Each comes isolated, private, and API-manageable.
Use Quantigrid-hosted inference for speed, or bring your own endpoint for full control and compliance.
Add CPU/GPU capacity per workload. Training, inference bursts, background jobs, and multi-agent swarms.
Pick one path and go. No generic cloud-console maze.
Best for founders and teams who want a private AI operator with channel integrations and custom skills.
Use Quantigrid-hosted models now, or route to your own endpoint. One key, multiple providers.
Need pure compute? Buy credit packs for A100/H100/4090 and CPU instances. Hourly burn, no long lock-ins.
Private by default. Quantigrid if you want convenience. BYO endpoint if you want sovereignty.
/.well-known/agent.json.Need private networking, dedicated GPU inventory, or team onboarding? We’ll wire it with you.
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