Ollama: Self-Hosted LLM Runtime, Setup and Limits
Checked 2026-10-31
Self-hosted runtime
Ollama runs open models on your own machine and also offers hosted cloud models.
Checked 2026-10-31
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Ollama runs open models on your own machine and also offers hosted cloud models. The README gives installs for macOS, Windows and Linux, plus an official Docker image. The local server is OpenAI compatible at http://localhost:11434/v1, with chat completions, completions, embeddings, responses and audio endpoints, and the cloud endpoint is https://ollama.com/v1 with an API key. Running models on your own hardware is free and unlimited. Cloud use is billed per token on Pay as you go at $0 a month, while Pro is $20 a month with $60 in credits and Max is $100 a month with $300. The code is under the MIT license. We would suggest it to developers who want a simple local endpoint and the option to use bigger models in the cloud. The limits are in the compatibility docs: chat completions have no logprobs, tool_choice or n, and image input must be base64, not a URL. The pages we read do not list supported GPUs. We have not run it ourselves for this note.
Checked 2026-10-31
Checked 2026-10-31
Checked 2026-10-31
LM Studio is a desktop app for downloading and running open-weight models on your own computer.
llama.cpp is a plain C and C++ engine for running language and vision models with little setup.
Free to run models on your own hardware. Cloud models are pay as you go ($0 a month), Pro is $20 a month with $60 in credits, and Max is $100 with $300 (checked 31 October 2026).
Yes, it offers an OpenAI-compatible API, so most agents and SDKs can point at it by changing the base URL.
Yes, it can run on your own servers.
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