XIIM – Run Your Own AI Models, Fully Local
Ship XIIM’s LLMs, vision, audio, and automation agents entirely on your infrastructure. Nothing leaves your stack—keep data sovereign, requests auditable, and performance GPU-fast on-prem.
Run XIIM’s LLMs and your finetunes on-prem with full sovereignty and rollbacks.
Lightweight overlays, saturation control, and throttled effects keep the hero video fluid.
Scoped tokens, per-route logging, and zero-trust gateways protect every request path.
Why self-hosted?
Your AI. Your rules.
Keep every token inside your perimeter, accelerate inference with local GPUs, and stay predictable on cost without SaaS limits.
100% data control
No data leaves your network. Air-gap and on-prem ready by default.
Ultra-low latency
Sub-10 ms round-trips with GPU-accelerated pipelines and smart caching.
Predictable cost
No token surprises. Scale on your own hardware with transparent utilization.
Enterprise security
RBAC, scoped tokens, audit logs, and policy enforcement across all APIs.
Custom models
Fine-tune or host proprietary checkpoints with adapter support and rollbacks.
Observability
GPU load, memory, tokens per second, and per-route audit trails in one view.
Platform features
Everything you need to run AI locally
A modular platform for LLMs, multimodal AI, agents, and automation with zero-trust security.
Local LLM engine
Run Llama, Qwen, Mistral, DeepSeek, and Gemma tuned for GPU and CPU paths.
Multi-modal AI
Vision, OCR, audio, and video frame intelligence with unified APIs.
Plugin & agent framework
Compose agents with tools, actions, workflows, and memory persistence.
Zero-trust security
RBAC, isolation, token scopes, encryption, and per-tenant isolation.
API compatible
OpenAI-compatible endpoints plus webhooks for n8n, Zapier, Python, and Node.
Dashboard & monitoring
GPU load, memory, tokens per second, logs, and model switching in real time.
CI/CD ready
GitOps flows, rollbacks, and blue/green deployments for safe model releases.
Open source core
Fully open source (MIT) with transparent code and reproducible builds.
Architecture
From data lake to finetuning
XIIM links community evaluation, curated datasets, and reusable model presets in one closed feedback loop.
Pricing
Simple tiers for every team
Start free, scale with Pro, or go fully private with Enterprise-grade SLAs.
- Multi-user, multi-model
- Vision + audio pipelines
- Hardware monitoring
- Priority support
- On-prem & air-gapped
- Custom models & adapters
- SLAs & private builds
- Dedicated solutions
Trust & stack
Built for enterprise, ready for your hardware
Optimized for NVIDIA GPUs, CUDA, and Kubernetes with transparent, open source code.
Developer docs
Fast start for builders
Use the OpenAI-compatible API, WebSockets, and Docker compose to get productive in minutes.
REST quickstart
curl http://localhost:8000/v1/chat/completions \
-H "Authorization: Bearer $TOKEN" \
-d '{
"model": "llama3",
"messages": [{"role":"user","content":"hi"}]
}'
Drop-in OpenAI compatibility with scoped tokens, rate limits, and request logging.
Architecture
- Gateway: zero-trust, scoped tokens, WAF-ready
- Model services: GPU-tuned runners with caching
- Control plane: RBAC, observability, audit trails
- Data plane: embeddings, vector stores, adapters
Deploy in minutes
- Docker Compose templates
- Helm chart for Kubernetes
- GitOps & CI/CD ready
- Blue/green and rollback friendly