Self Hosted Ollama On A Private VPS
Ollama makes running local LLMs trivial, but you still need real hardware. AnubizHost Ollama VPS plans give you NVMe storage, large RAM, and optional GPU passthrough so you can pull Llama, Mistral, Qwen, Gemma, or any compatible model and serve it over your own private endpoint without ever calling out to a third party API.
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Install Ollama In One Command
Ollama installs with a single curl pipe to shell command on Ubuntu, Debian, or any major Linux distribution. AnubizHost ships clean templates so the install completes in under a minute. After install you run `ollama pull llama3.1` or any other supported model and the binary auto detects available GPU, CPU, and RAM resources.
The default Ollama API listens on port 11434. You can expose it directly behind a firewall rule, or front it with Nginx or Caddy for TLS, API keys, and rate limiting. Many customers run Ollama plus Open WebUI on the same VPS for a complete private ChatGPT alternative accessible from any browser.
Hardware Tiers Matched To Model Sizes
Pick a tier based on the largest model you want to run. A 16GB RAM VPS handles 3B and 7B quantized models on CPU at reasonable speed. A 32GB tier covers 13B comfortably. For 70B class models you want a GPU plan with 24GB or more VRAM, or a 128GB to 256GB RAM tier if you accept slower CPU inference for cost reasons.
NVMe storage ranges from 200GB up to 4TB so you can cache multiple models and switch between them instantly. Pulling a fresh model from the Ollama library takes seconds on our 1Gbps uplinks.
Privacy, Crypto Billing, Full Control
Self hosting Ollama on AnubizHost means no prompt ever leaves your VPS unless you send it out. Combined with our offshore locations, no KYC signup, and crypto only billing, the result is a fully private LLM stack with no third party in the chain.
This is the setup customers use for sensitive internal chat tools, confidential RAG pipelines over private documents, alternative search engines, or any application where the prompts themselves are the sensitive data.
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