The platform

Five products. One GPU Runtime.

Mandarum is GPU-native end to end. Voltra packs your fleet and holds your SLOs. Praxon governs every agent action with identity and audit. Cuvex retrieves context at GPU speed. Edgeon governs inference at the factory floor. Twinex lets you simulate before you commit compute. Adopt one. Standardize on all five.

Why a platform, not a tool

The whole is worth more than the parts.

Point tools create new silos. Mandarum shares one identity, one telemetry fabric, one policy plane, and one GPU memory layer across every product — so each one makes the others faster, cheaper, and safer. The more you adopt, the more the platform compounds.

One identity & policy plane

Praxon governs every agent and endpoint scheduled by Voltra and pushed to the edge by Edgeon — one set of rules, everywhere.

One GPU telemetry & memory fabric

Voltra and Twinex read the same DCGM telemetry, and Cuvex retrieves across the whole fleet. No per-tool re-integration, no blind spots.

One optimization flywheel

Every governed, observed inference run becomes labeled data that improves routing, caching, and the next generation of model deployments.

Adoption path

Start with one. Grow into the OS.

Day 1

Schedule & serve

Point Voltra at your GPU fleet and let it pack models and hold p99 from the first request.

Week 1

Govern & ground

Run agents through Praxon with identity and guardrails, grounded in Cuvex GPU memory and RAG.

Month 1

Reach the edge

Deploy governed inference to NVIDIA Jetson fleets with Edgeon and safe OTA via Fleet Command.

Quarter 1

Plan ahead

Simulate hardware and topology changes in Twinex before they ever touch production.

The GPU runtime for production AI.

Five products. One control plane. Every model, agent, and GPU fleet — from H100 datacenters to Jetson edge nodes. Join the design partner program.