⚙️ GPUaaS · For Neoclouds & GPU/Power-Asset Owners
Compute Control Plane + Secure Token Factory
A governed GPUaaS control plane and inference platform — deployed on-prem, inside your own environment. Not a service we operate on your behalf: you keep the infrastructure, the customer relationship, and the data.
On-Prem
Deployed In Your Environment
Any Backend
OpenAI-Compatible API Surface
White-Label
Your Brand, Not Ours
Zero
RuntimeAI Compute in the Loop
Key Capabilities
The control-plane and inference software a GPU/power-asset owner would otherwise spend a multi-quarter build cycle on.
Compute Control Plane (CCP)
Multi-tenant policy, cost, and routing layer in front of your own GPU fleet, spanning Premium, Standard, and Economy tiers as a first-class routing dimension — not just a proxy.
Secure Token Factory (STF)
An OpenAI-compatible inference API in front of your own vLLM, TGI, Ollama, or llama.cpp backends — any existing OpenAI SDK client points at your infrastructure with zero code changes. Plus model registry and LoRA/QLoRA adapter hot-swap for serving your own model fleet, not ours.
Intelligent Routing & Reliability
Best-cost, best-latency, and failover routing policies with an automatic per-backend circuit breaker — traffic drains away from a degraded pool without a human in the loop.
Two-Level Tenancy
Real, tested multi-tenant isolation scoped two levels deep — you, then your own downstream customers — cryptographically isolated from each other via row-level security.
Governance Built In, Not Bolted On
PII detection, behavioral identity/drift scoring, and an immutable audit trail as opt-in hooks — the same governance stack RuntimeAI runs in production, packaged for your platform.
White-Label Self-Service Console
Runtime-configurable branding — your logo, your domain, your pricing — not a RuntimeAI-branded product wrapped around your compute.
Real License & Usage Enforcement
Cryptographic (Ed25519) per-deployment licensing and per-backend usage/cost export with noisy-neighbor alerting — built in, not an afterthought.
CLI for Automation
Script the entire control plane — backend registration, tenant provisioning, usage export, model and adapter management — without touching the console.
How It Works
Deploys entirely inside your own environment.
01
Deploy On-Prem
CCP and STF run inside your own environment, against your own GPU fleet. No RuntimeAI compute in the loop — ever.
02
Register Your Backends
Bring your own vLLM, TGI, or OpenAI-compatible model servers online as routable, policy-governed, cost-tracked backends.
03
Onboard Your Customers
Your own downstream tenants get a white-labeled console under your brand — isolated, metered, and governed from day one.
04
Bill on Your Terms
Usage and cost data hands off directly into your own billing system — you own the customer relationship end to end.
Deployment & Compatibility
Built on standard, self-hosted-friendly infrastructure.
vLLM
TGI
Ollama
llama.cpp
OpenAI-Compatible API
Kubernetes
On-Prem / Air-Gapped
Bring Your Own Cloud
Evaluating Build vs. Buy?
Let's talk before you commit engineering headcount to building this from zero — see it running against a live deployment.