AI Hosting Built for Self-Hosters
Run LLMs, agents, RAG pipelines, and AI apps on infrastructure you own. Predictable flat pricing, full data privacy, and your choice of any model — local or remote.
Why Self-Host Your AI Stack?
Three reasons teams move AI workloads onto their own infrastructure
Data Sovereignty
No Per-Token Markup
Mix and Match Models
What You Can Run
Step-by-step guides for the most popular open-source AI tools — all running on your CometVPS server
OpenClaw
Your own self-hosted personal AI assistant with persistent memory, multi-platform messaging, and multi-model routing across GPT-4o, Claude, Gemini, and local models.
n8n
Visual workflow automation with native AI Agent nodes, LangChain support, and 500+ integrations. Wire LLMs into the rest of your stack — open-source Zapier alternative.
Ollama
Self-host Llama 3, Mistral, Qwen, DeepSeek, and 100+ open LLMs on your own server. OpenAI-compatible API, one-command install, no per-token fees.
Open WebUI
ChatGPT-style web interface for any LLM — Ollama, OpenAI, Anthropic, or any OpenAI-compatible API. RAG-ready, multi-user, and entirely self-hosted.
LiteLLM
Unified OpenAI-format proxy for 100+ providers with virtual keys, per-user budgets, fallbacks, and detailed cost tracking. Centralize and control every AI call.
Pick Your AI Workload
Match your use case to a server plan that fits — without overpaying
Lightweight Agents & Proxies
AI proxy gateways (LiteLLM), small n8n automations, lightweight Open WebUI front-ends pointed at remote model APIs.
Heavy Automation & Multi-Agent
Production n8n with AI Agent nodes, Flowise RAG flows, OpenClaw with multiple integrations, Open WebUI for a small team.
Local CPU Inference (7B–70B)
Run quantized 7B–70B models on CPU with Ollama, serve a team from one box, host large vector stores and embedding databases.
A note on CPU vs GPU inference
CometVPS currently focuses on CPU inference, AI app hosting, agents, and AI proxies. Modern AMD Ryzen CPUs with quantized GGUF models are well-suited for self-hosted 7B–14B language models, embeddings, and serving small teams. Our AstroMetal Ryzen 7950X3D plans extend that to quantized 30B–70B models on CPU.
If you need real-time 70B+ inference, very high concurrent throughput, or image / video generation at scale, you'll want a dedicated GPU host. We're evaluating GPU offerings and this guidance may evolve in the future — for now, we're upfront about where our infrastructure shines so you don't over-buy.
Built for AI Workloads
The infrastructure underneath every AI deployment
NVMe SSD Storage
10Gbps Network
99.9% Uptime SLA
DDoS Protection
Frequently Asked Questions
Common questions about self-hosting AI on CometVPS
Ready to Build Your AI Stack?
Spin up a server in minutes, follow a step-by-step setup guide, and own your AI infrastructure end to end.