geeks-accelerator Self-Hosted AI — Own Your Entire AI Stack
Stop paying per token. Stop sending data to cloud APIs. Run self-hosted LLMs, self-hosted image generation, self-hosted speech-to-text, and self-hosted embeddings on your own hardware. One self-hosted router makes all your devices act like one system.
What self-hosted AI replaces
| Cloud service | Self-hosted replacement | How |
|---|---|---|
| OpenAI API | Self-hosted Llama 3.3, Qwen 3.5, DeepSeek-R1 via Ollama | Same OpenAI SDK, swap the base URL |
| DALL-E / Midjourney | Self-hosted Stable Diffusion 3, Flux via mflux/DiffusionKit | POST /api/generate-image |
| Whisper API | Self-hosted Qwen3-ASR via MLX | POST /api/transcribe |
| OpenAI Embeddings | Self-hosted nomic-embed-text, mxbai-embed via Ollama | POST /api/embed |
Same APIs. Same quality. Zero per-request costs. All data stays on your self-hosted machines.
Self-Hosted Setup
pip install ollama-herd # Self-hosted AI router from PyPI
herd # start the self-hosted router
herd-node # run on each self-hosted machine — auto-discovers the router
No Docker. No Kubernetes. No config files. Self-hosted devices find each other automatically on your local network.
Self-Hosted LLM Inference
Drop-in self-hosted replacement for the OpenAI SDK:
from openai import OpenAI
# Self-hosted inference client — replaces OpenAI cloud
self_hosted_client = OpenAI(base_url="http://localhost:11435/v1", api_key="not-needed")
self_hosted_response = self_hosted_client.chat.completions.create(
model="llama3.3:70b", # self-hosted model, no cloud dependency
messages=[{"role": "user", "content": "Analyze this contract for risks"}],
stream=True,
)
for chunk in self_hosted_response:
print(chunk.choices[0].delta.content or "", end="")
Self-hosted Ollama API
curl http://localhost:11435/api/chat -d '{
"model": "deepseek-r1:70b",
"messages": [{"role": "user", "content": "Explain self-hosted AI advantages over cloud APIs"}],
"stream": false
}'
Self-Hosted Image Generation
Self-hosted replacement for DALL-E and Midjourney:
# Install self-hosted image backends on any node
uv tool install mflux # Self-hosted Flux models (~7s)
uv tool install diffusionkit # Self-hosted Stable Diffusion 3/3.5
# Generate on your self-hosted fleet
curl -o self_hosted_output.png http://localhost:11435/api/generate-image \
-H "Content-Type: application/json" \
-d '{"model": "z-image-turbo", "prompt": "self-hosted AI generating product mockup", "width": 1024, "height": 1024}'
Self-Hosted Speech-to-Text
Self-hosted replacement for Whisper API:
curl http://localhost:11435/api/transcribe \
-F "file=@self_hosted_meeting.wav" \
-F "model=qwen3-asr"
All self-hosted transcription stays on your network. No audio data sent to cloud services.
Self-Hosted Embeddings
Self-hosted replacement for OpenAI's embedding API:
curl http://localhost:11435/api/embed \
-d '{"model": "nomic-embed-text", "input": "self-hosted document embedding for private RAG pipelines"}'
Self-Hosted Cost Comparison
| Service | Cloud cost | Self-hosted cost |
|---|---|---|
| GPT-4o (1M tokens/month) | ~$15-30/month | $0 (self-hosted hardware you own) |
| DALL-E (1000 images/month) | ~$40/month | $0 (self-hosted image gen) |
| Whisper API (10 hours audio/month) | ~$6/month | $0 (self-hosted transcription) |
| OpenAI embeddings (1M tokens/month) | ~$0.10/month | $0 (self-hosted embeddings) |
| Total | ~$60+/month | $0/month self-hosted |
After hardware investment, every self-hosted request is free forever. No rate limits, no usage caps, no surprise bills.
Self-Hosted Advantages
- Self-hosted data sovereignty — prompts, images, audio, and documents never leave your network
- Self-hosted throughput — your hardware, no rate limits
- Self-hosted uptime — cloud API outages don't affect your self-hosted fleet
- Self-hosted flexibility — switch models instantly, no vendor lock-in
- Self-hosted compliance — HIPAA, GDPR, SOC2 — no third-party data processors
- Self-hosted predictability — hardware depreciates, but never surprises you with a bill
Self-Hosted Fleet Routing
The self-hosted router scores each device on 7 signals and picks the best one for every request. Multiple self-hosted machines share the load automatically.
# Self-hosted fleet overview
curl -s http://localhost:11435/fleet/status | python3 -m json.tool
# Self-hosted health checks
curl -s http://localhost:11435/dashboard/api/health | python3 -m json.tool
# Self-hosted model recommendations for your hardware
curl -s http://localhost:11435/dashboard/api/recommendations | python3 -m json.tool
Self-hosted dashboard at http://localhost:11435/dashboard for visual monitoring of your entire self-hosted fleet.
Full self-hosted documentation
- Agent Setup Guide — all 4 self-hosted model types
- Image Generation Guide — 3 self-hosted image backends
- API Reference
- Configuration
Contribute
Ollama Herd is open source (MIT). Self-hosted AI for everyone:
- Star on GitHub — help others discover self-hosted AI
- Open an issue — share your self-hosted setup
- PRs welcome from humans and AI agents.
CLAUDE.mdgives full self-hosted context. 964 tests.
Self-Hosted Guardrails
- No automatic downloads — all self-hosted model pulls require explicit user confirmation.
- Self-hosted model deletion requires explicit user confirmation.
- All self-hosted requests stay local — no data leaves your network. No telemetry, no analytics, no cloud callbacks.
- Never delete or modify self-hosted files in
~/.fleet-manager/. - Your self-hosted fleet has zero cloud dependencies — works fully offline after initial model downloads.