Deploy a complete AI inference platform on your own infrastructure. Full GPU management, OpenAI-compatible API, team controls — and absolute data sovereignty. No Kubernetes. No vendor lock-in.
The problem
Every API call to a cloud LLM provider sends your data through someone else's servers. You don't control where it's stored, who sees it, or what happens to it. For regulated industries, sensitive IP, or any organization that takes data ownership seriously — that's a non-starter.
The alternative — building your own GPU inference platform — takes months of engineering, a dedicated DevOps team, and Kubernetes expertise most organizations don't have.
The solution
Paralon Enterprise deploys directly on your servers. Your GPUs, your network, your data — nothing leaves. You get a production-ready inference platform with dashboards, API access, team management, and model orchestration — without building anything from scratch.
Install our agent, point it at your GPU machines, and your team has an OpenAI-compatible API running on private infrastructure within hours.
Data sovereignty
Your data never leaves your network
Not sometimes. Not with opt-outs. Never. Every inference request, every model, every log — stays on hardware you control.
Zero external calls
Models run on your hardware. Inference happens on your network. Nothing is routed through our servers or any third party.
You own the deployment
The entire platform runs on your infrastructure. You control updates, access, and data retention policies.
Regulatory ready
Built for organizations that need GDPR, NIS2, or sector-specific compliance. No data residency questions — your data never moves.
Platform
Everything you need to run AI infrastructure
Built from the ground up for GPU compute and AI inference. No Kubernetes. No DevOps team. Just results.
Complete Data Sovereignty
Zero-Config Node Management
Intelligent Inference Pipeline
Real-Time Dashboard
Multi-Team Access Control
Any GPU, Any Silicon
Setup
Up and running in 3 steps
- 01
Install Agent
One command per machine. Supports NVIDIA GPUs and Apple Silicon Macs. Runs entirely on your network.
- 02
Nodes Auto-Register
Hardware specs detected automatically. GPU models, VRAM, location — all reported to your private dashboard.
- 03
Start Serving
Models allocated intelligently. Teams get API keys. Inference starts flowing — and nothing leaves your infrastructure.
Compare
Paralon vs. the alternatives
Cloud APIs give you convenience but take your data. DIY gives you control but costs months. We give you both.
| Feature | Paralon | Cloud APIs | DIY / K8s |
|---|---|---|---|
| Your data stays on-premise | Always | Never | Yes |
| Setup time | Hours | Minutes | Months |
| Kubernetes required | No | No | Yes |
| DevOps team required | No | No | Yes |
| Inference pipeline built-in | Yes | Varies | Build it |
| GPU fleet management | Built-in | Limited | Build it |
| Vendor lock-in | None | High | None |
| Cost model | Fixed license | Per-token / Per-GPU-hr | Engineering time |
Plans
Simple, predictable pricing
All plans are self-hosted. No per-token fees. No data leaves your servers.
Team
For small teams bringing AI in-house.
Includes:
- Up to 10 GPU nodes
- Self-hosted on your infrastructure
- Inference pipeline & OpenAI-compatible API
- Dashboard & real-time monitoring
- API key management
- Email support
Business
Most popularFor organizations scaling AI across teams.
Everything in Team, plus:
- Unlimited nodes
- Custom branding & domain
- Multi-team access & quotas
- Usage analytics & reporting
- Apple Silicon + NVIDIA support
- Priority support & onboarding
Enterprise
For mission-critical, regulated deployments.
Everything in Business, plus:
- Dedicated support engineer
- Custom integrations & API extensions
- SSO, audit logs & compliance reports
- Air-gapped deployment option
- Custom SLA & uptime guarantees
- On-site onboarding available