Local & self-hosted model runtime
Managed Ollama environments for teams and internal tools.
Ollama makes it simple to pull, run and serve open-weight models through a lightweight local API. GPUMarket operates Ollama on dedicated GPU infrastructure so teams get a shared, reliable internal endpoint instead of individual laptops running models inconsistently.
What is Ollama?
Ollama is a runtime for downloading and serving open-weight LLMs behind a simple local API, commonly used for development, internal tooling and lightweight production use cases. It is popular for its ease of use and broad model library support.
GPUMarket is an independent infrastructure provider and is not affiliated with the Ollama project. We provide and operate the GPU infrastructure it runs on.
What we manage for you
- GPU-backed Ollama deployment sized to your model set
- Persistent model storage and caching
- Access control for internal teams
- Uptime monitoring and automatic restarts
- Version and model updates
- Integration with internal tools via its API
Ideal for
- Internal developer tooling and prototyping
- Small teams that want a shared model endpoint without managing GPU servers
- Lightweight production use cases with modest throughput requirements
Recommended GPUs
Related solutions
Frequently asked questions
Is managed Ollama suitable for production traffic?
Ollama works well for internal tools, prototyping and moderate-throughput use cases. For high-concurrency production inference, we typically recommend vLLM or NVIDIA NIM, and can help you evaluate which fits your workload.
Can we bring our own fine-tuned models to Ollama?
Yes. Custom or fine-tuned models can be loaded into a managed Ollama deployment, subject to format compatibility. We can advise on packaging your model for Ollama.