Deployment
Docker & GPU
Docker support: Yes
GPU: Optional
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Automation / AI / Dev
Runtime to run open LLMs locally or in the cloud with a simple CLI and REST API
Requirements
Badges are attached to each value. An estimate is never presented as an official project requirement.
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 8 GB Estimated | 16 GB Estimated |
| CPU | 2 vCPU Estimated | 4 vCPU Estimated |
| Disk | 10 GB Estimated | Not stated Not stated |
Disk figures describe the application footprint recorded in the dataset. Personal media, documents, backups and other user data can require substantially more storage.
RunOnVPS sizing suggestion
16 GB RAM tier
This is our sizing suggestion, derived from Ollama’s recommended RAM of 16 GB. It is not an official requirement and it does not guarantee that every workload, plug-in set or media library will fit comfortably.
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Deployment
Docker support: Yes
GPU: Optional
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Commercial alternative
OpenAI API / ChatGPT
Ollama is catalogued here as a self-hosted alternative to OpenAI API / ChatGPT. Feature parity varies, so compare your required workflow before migrating.
Source check
官方未标明固定最低配置: the current official FAQ and GPU docs (checked 2026-10-24) give no fixed RAM/CPU/disk minimum for Ollama itself - requirements depend entirely on the model loaded. Estimates assume serving one small 7B-8B class quantized model on a VPS (Ollama binary itself is lightweight; model weights dominate RAM and disk). GPU optional: CPU-only inference works; GPU acceleration is officially supported for NVIDIA (compute capability 5.0+), AMD (ROCm/Vulkan) and Apple Silicon (Metal) per https://docs.ollama.com/gpu. Official Docker image: ollama/ollama. GitHub stars 184489 on 2026-10-24.
Data source: https://docs.ollama.com/faq
Project repository: https://github.com/ollama/ollama
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