Managed Local AI
Your own private AI running on your GPU, with Open WebUI — a ChatGPT-style chat window for your team.
- Ollama standard
- Open WebUI default
- No third-party AI API required by default
- Managed setup and updates
AI apps managed around open-source control
Pick the app that matches the job. Open WebUI for private team chat, AnythingLLM to search your own documents, LibreChat for teams that use several AI providers, Flowise and n8n to automate tasks, and ComfyUI for AI image creation.
- Private AI built on Ollama, the open-source standard
- Open-source hosting managed with CyberPanel
- Domains, support, and clear ways to get started
vLLM is an advanced speed option — we only suggest it after testing on your setup.
AI Apps
Private document search, team chat, workflow automation, and creative image tools — all open-source and managed by us.
- AnythingLLM or LibreChat
- Flowise and n8n options
- ComfyUI for creative GPU workflows
- vLLM only as optional advanced layer
GPU Infrastructure
The right GPU server for running AI, generating images, and private automation — sized to what you actually need.
- Dedicated setup
- Storage and backup planning
- Monitoring and maintenance
- Benchmark before performance promises
Open Source Hosting
Managed open-source hosting with CyberPanel, domains, SSL, DNS, and human support.
- CyberPanel control panel
- WordPress, Nextcloud, Matomo and more
- No cPanel or CentOS claims
- Built for long-term maintenance
Domains
Domain registration, renewal, transfer guidance, and DNS support for open-source projects and teams.
- Popular TLDs with USD pricing
- Renewal notes shown clearly
- Transfers reviewed by registry rules
- DNS basics included
Choose each app on purpose
Each app has a job. We won't pretend every tool is ready for every team.
Open WebUI
The private, ChatGPT-style chat window your team opens in the browser.
AnythingLLM
Chat with your own documents and build private knowledge spaces.
LibreChat
Team chat that can use several AI providers, when that extra effort is worth it.
Flowise
A drag-and-drop builder for document search (RAG) and AI agents, for power users.
n8n AI Starter Kit
A workflow-automation starter kit — a proof of concept we harden before real use.
ComfyUI
AI image creation on your GPU, with the models and tools set up for you.
Team RAG: a quick path to private knowledge search
RAG means an AI that answers from your own documents and shows its sources. New Qwen3-Embedding models make this worth testing now, but we stay careful: your storage, document types, speed, permissions, and GPU health decide what fits.
Embedding benchmark
We test Qwen3-Embedding 0.6B, 4B, or 8B against your document mix before committing to a larger knowledge rollout.
Knowledge ingestion
We pick AnythingLLM, Flowise, or a lighter setup once we know how your documents are split up, how often they change, and your privacy rules.
Team controls
User roles, audit expectations, backups, and update windows are scoped before production use, not bolted on after launch.
Our promise: we make no live-AI claim until the NVIDIA drivers, Ollama, and your chosen model all pass tests on your real server.
Document reading test for private forms and PDFs
Local document AI works best when we start small: sample pages, the fields you expect, a baseline for reading text and tables (OCR), and a human-review plan — not a vague promise of full automation.
Sample pack
Select invoices, forms, scanned PDFs, screenshots, and expected fields. Remove secrets before testing and define what counts as an extraction error.
Parser and vision-model trial
Use Docling-style conversion and OCR/table baselines, then test Qwen3-VL or Qwen2.5-VL (AI models that read images) against the same pages.
Review workflow
Decide which fields may be automated, which need approval, and where logs, source files, and extracted outputs may live.
Our promise: we make no live document-AI claim until the NVIDIA drivers, the software, and your chosen model all pass tests on your real server.
Coding-assistant test for private code
Qwen3-Coder 30B is worth trying for whole-codebase work. We keep it practical: we test how much code it can read, its speed, how it fits your editor, and its limits before any team rollout.
Repository sample
Select representative private code, docs, and issue patterns. Secrets and production credentials stay out of the benchmark corpus.
Model-fit trial
Test Qwen3-Coder 30B and lighter fallbacks against real tasks, not generic demo prompts, while measuring memory, context, and response quality.
Team rollout scope
Define IDE or web UI access, update windows, audit expectations, and fallback paths before developers rely on the assistant.
Our promise: Ollama lists Qwen3-Coder 30B at 19 GB, but a 20 GB RTX 4000 Ada card still needs driver checks, a healthy Ollama, and a real test on your server before production use.
Want us to run it for you? Managed Local AI plans start from $299.18/mo for managing your own server (BYO), with final terms shown at checkout. Compare the plans before ordering →