DeepSeek R1 + OpenClaw Deployment Hub
🚀 Deployment Hub — Pick what to fix or check next
Not a list of errors. Choose your workflow: VRAM check, runtime issues, or cloud escape.
Hardware Red Line
Before debugging anything, check if your machine can even run it.
Runtime Disasters
Most crashes are hardware-bound, not software bugs.
| Error | Fix |
|---|---|
| CUDA Out of Memory | /guides/fix-openclaw-cuda-oom-errors |
torch.cuda.OutOfMemoryError | /guides/fix-torch-cuda-out-of-memory |
| Model Failed to Load | Coming soon |
| Container Killed (Exit 137) | Coming soon |
| Segmentation Fault | Coming soon |
| Inference Too Slow | /guides/fix-openclaw-slow-inference |
Installation Traps
Common setup failures and their fixes:
- spawn npm ENOENT — /guides/fix-openclaw-spawn-npm-enoent (Mac/Linux) · /guides/fix-openclaw-spawn-npm-enoent-windows (Windows)
- Docker EACCES — /guides/fix-openclaw-docker-eacces-permission-denied
- install.ps1 ENOENT — /guides/fix-openclaw-install-ps1-npm-enoent-windows
- package.json missing — /guides/fix-openclaw-package-json-missing-openclaw-extensions
The Cloud Bypass
If local setup is red, stop burning time.
🚀 Claim $100 Credit & Deploy 24GB+ GPU (Hourly billing)Quick Reference
| Resource | Link |
|---|---|
| Error Index | /guides/openclaw-error-index |
| Quick Start | /quick-start |
| Preflight Tool | /preflight |