What Ollama does well
Ollama makes running a model a one-liner: ollama run qwen3:8b. It handles GGUF weights, quantization and GPU offloading, and exposes an OpenAI-compatible API on port 11434. For one developer on one machine it is hard to beat, and gpuos uses Ollama as its engine.
Where teams hit the limits
| Need | Ollama alone | With gpuos |
|---|---|---|
| Access from other machines | Open port 11434, add TLS yourself | Public HTTPS endpoint, no inbound port on the GPU box |
| Authentication | None built in | API keys per app or person |
| Fair sharing | First come, first served | Monthly token quotas and rate limits per key |
| Usage visibility | Logs on the machine | Tokens, latency and errors per key, model and node |
| Several GPUs or servers | One endpoint per machine | One endpoint, requests go to the least busy node |
| Deploying models | SSH and ollama pull | One click with a VRAM check, from the dashboard |
Which one to use
- Ollama alone: personal use, experiments, offline work on a laptop.
- gpuos: anything shared, whether a team, an internal app or customer-facing features, or more than one GPU.
Moving is quick: install the gpuos agent on the machine that already runs Ollama. The node shows up in the dashboard, and catalog models you already pulled are reused instead of downloaded again when you deploy them.
Try the team endpoint without replacing your local workflow
- Keep a known-working Ollama model and test a short local request before adding a gateway.
- Join gpuOS early access if you need onboarding, then follow the self-hosted API guide.
- Use a separate key for one test application and change its base URL and catalog model id. Keep the original configuration so you can compare responses.
- Verify streaming, error handling and any tool calls your application depends on before moving the rest of the team.
Choose Open WebUI for a shared chat interface, or the OpenAI Python SDK for application calls. Ollama remains the inference engine in both workflows.
Reference: Ollama OpenAI compatibility.