"Build your own AI" requires GPU. Mac is 16GB → too small for serious training. Cloud GPUs cost ££. So we bridge 7 free GPU providers and route OWEM training across them automatically.
| Provider | GPU | Quota | Cycle | Status |
|---|---|---|---|---|
| Google Colab | T4 (16GB) | ~30 GPU-hr | weekly | LIVE |
| Kaggle | T4×2 (32GB) | ~30 GPU-hr | weekly | LIVE |
| Lightning AI | T4/A10G | ~22 GPU-hr | monthly | NEEDS SIGN-UP |
| Modal | T4/A10G | ~$30/mo credit ≈ 8 GPU-hr | monthly | NEEDS SIGN-UP |
| AWS Studio Lab | T4 (16GB) | ~24 GPU-hr | weekly | LIVE |
| HuggingFace Spaces | T4 small | ~5 GPU-hr | monthly | LIVE |
| GitHub Actions | T4 (CI) | ~6 GPU-hr | monthly | LIVE |
30 GPU-hr/week
30 GPU-hr/week
24 GPU-hr/week
| Provider | Quota | Sign-up URL | Account needed |
|---|---|---|---|
| Lightning AI | 22 GPU-hr/month | lightning.ai | GitHub OAuth |
| Modal | $30/mo credit | modal.com | GitHub OAuth |
| HuggingFace Spaces | 5 GPU-hr/month | huggingface.co | HF account (free) |
| GitHub Actions | 6 GPU-hr/month | github.com | GH account (free) |
sov33_adapters.zip to ~/Downloads/sov33_install_adapters.pyHeavy work = cloud. Mac = orchestration + lightweight inference only.
5 saturation signals that say "push to cloud":