AIby Pyo
Deploy Ollama on your own servers
Run open models like Llama, Qwen and Gemma behind a local HTTP API.
What Pyo sets up
- Image
- docker.io/ollama/ollama:0.40.14
- Versions
- 0.40.14, 0.5.4
- Reached
- Inside the cluster only
- Runs as
- One replica with its own data
- Replicas
- 1
- Requests
- 1 vCPU · 2 GiB
- Limits
- 4 vCPU · 8 GiB
- Storage
- 30 GiB at /root/.ollama
- GPU
- 1 NVIDIA GPU, used when the cluster has one
- Health check
- HTTP /
What you can configure
- Version0.40.14
How to deploy it
- 1
Install Pyo
Run the setup command on your server.
- 2
Choose Ollama
Open Templates in the dashboard and pick it. Pyo fills in sensible defaults.
- 3
Deploy
Pick a server and deploy. Pyo runs it and follows the rollout.
Ports
- api 11434/HTTPPrivate
Good to know
- Uses an NVIDIA GPU when its cluster has one, and runs on CPU otherwise.
- Pull a model with POST /api/pull before the first request. Models are kept on the volume.
- Models are large: size the volume, memory and GPU memory for the ones you use.
Related templates
All templatesGet Pyo running on your server
Run Pyo on any machine, from your laptop or VPS to a dedicated server or homelab.
curl -fsSL https://pyo.dev/install.sh | bash