Automation / AI / Dev

Ollama on VPS

Runtime to run open LLMs locally or in the cloud with a simple CLI and REST API

GitHub stars
~184k (2026-10-24)
License
MIT
Docker
Yes
GPU
Optional

Requirements

Minimum and recommended VPS specs

Badges are attached to each value. An estimate is never presented as an official project requirement.

Ollama hardware requirements
ResourceMinimumRecommended
RAM8 GB Estimated16 GB Estimated
CPU2 vCPU Estimated4 vCPU Estimated
Disk10 GB EstimatedNot 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

Suggested VPS tier

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 & 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.

Commercial alternative

What it can replace

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.

Add it to a multi-app VPS estimate →

Source check

Important notes

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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