Deploy Ollama on CometVPS
Self-host Llama 3, Mistral, Qwen, DeepSeek, and 100+ open LLMs on your own server. OpenAI-compatible API, one-command install, and zero per-token fees — your prompts never leave your infrastructure.
What is Ollama?
Ollama is an open-source LLM runtime that makes it trivially easy to download, run, and serve large language models on your own hardware. It bundles model management, a model server, and an OpenAI-compatible API into one binary so you can swap out proprietary AI providers without rewriting your apps.
Total Privacy
Drop-in OpenAI API
No Per-Token Fees
Key Features
Everything you need to run open LLMs on your own infrastructure
100+ Open Models
Pull and run Llama 3, Mistral, Qwen, DeepSeek, Gemma, Phi, and more with a single command. Built-in support for quantized GGUF models.
OpenAI-Compatible API
Drop-in replacement for the OpenAI API. Point any tool that speaks the OpenAI protocol — Open WebUI, LiteLLM, n8n, LangChain — at your Ollama server.
Modelfile Customization
Bake system prompts, parameters, and personas into your own model variants with a Dockerfile-style Modelfile. Version and share them like containers.
One-Command Install
A single curl command installs Ollama and the model server. No Python environments, no CUDA gymnastics, no dependency hell.
Installation Guide
Get Ollama running on your CometVPS server in just 5 simple steps
Security Tip
Ollama has no built-in authentication. Never expose port 11434 directly to the internet. Always front it with a reverse proxy that enforces HTTPS plus an API key header, or keep it bound to localhost and access it through a VPN / WireGuard tunnel. A public, unauthenticated Ollama server will be discovered and abused within hours.
Recommended VPS Plans
Choose a plan based on the size of model you want to run
Supernova VPS - Spark
4 AMD Ryzen Cores, 8GB DDR5, 100GB NVMe
Enough horsepower for 3B–7B quantized models like Llama 3.2 or Phi-3 for hobby use, embeddings, and small RAG demos.
Supernova VPS - Flare
6 AMD Ryzen Cores, 16GB DDR5, 200GB NVMe
Sweet spot for running quantized 7B–13B models (Llama 3.1, Qwen 2.5, Mistral) on CPU at usable token rates with room for an Open WebUI front-end.
AstroMetal - AM-R7950X3D
16 Cores, 128GB RAM, 1.92TB NVMe
Dedicated Ryzen 7950X3D with 128GB RAM comfortably runs 30B–70B quantized models on CPU and serves multiple users from a single Ollama instance.
A note on CPU vs GPU inference
CometVPS currently focuses on CPU inference, which is well-suited for quantized 7B–14B models, embedding workloads, and serving small teams. For real-time 70B inference or heavy concurrent users, you'll want a GPU host. Ryzen-based Supernova and AstroMetal plans give the best CPU tokens-per-second on our network.
Why Deploy on CometVPS?
Get the best performance and reliability for your Ollama instance
Full Privacy
NVMe SSD Storage
10Gbps Network
24/7 Expert Support
Ready to Deploy Ollama?
Run open LLMs on your own server with zero per-token fees, full data privacy, and a one-command setup.