Self-hosted LLM inference 40–60% cheaper than hyperscalers, with built-in defensive safety and full governance audit trails. Deploy on your own infrastructure in 15 minutes.
Fast inference, defensive safety, and self-hosted sovereignty — in one deployable stack.
Group-wise INT4 quantization with activation-aware scaling (AWQ) and protected channels. Run 8B models at 120+ tok/s on a single RTX 4090. One command to quantize any HuggingFace model.
Defensive cyber evaluation with 4 specialized verifiers. Every inference request gets a safety score. Full audit trail in PostgreSQL. Policy-based blocking for compliance requirements.
Provision a complete Kubernetes cluster with a single command. Supports bare-metal, Proxmox, HPE Morpheus, and Hetzner Cloud. Helm-based service installation with production-ready defaults.
Drop-in replacement for OpenAI's API. Use your existing SDKs and integrations. /v1/chat/completions, /v1/embeddings, /v1/models — all work out of the box.
Prometheus metrics, Grafana dashboards, and OpenTelemetry tracing. Monitor inference latency, safety gate hit rates, GPU utilization, and cost per token in real time.
Zero external API calls. All data stays on your infrastructure. No vendor lock-in. Run on any hardware — from a single GPU workstation to a multi-node cluster.
Every layer designed for speed, safety, and simplicity.
RTX 4090 running Llama 3 8B INT4 via TurboQuant vs. public cloud APIs.
| Metric | TurboPrivate AI RTX 4090 · Self-hosted |
GPT-4o-mini OpenAI API |
Claude Haiku Anthropic API |
|---|---|---|---|
| First Token Latency | ~30ms | ~200ms | ~300ms |
| Throughput | ~120 tok/s | ~80 tok/s | ~60 tok/s |
| Cost / 1M tokens | ~$0.02 | $0.15 | $0.25 |
| Data Leaves Premises | Never | Always | Always |
| Built-in Safety Audit | ✓ Included | ✗ None | ✗ None |
| Defensive Cyber Eval | ✓ 4 Verifiers | ✗ None | ✗ None |
Open-source core with optional enterprise support.
One command to install. Zero data leaves your premises. Full safety governance from day one.