Private AI & GPU platform

The infrastructure AI runs on

AI does not have to mean sending your data and models to someone else's cloud. We design and build the platform your AI workloads run on: GPU compute, high-performance distributed storage, and the Kubernetes layer that schedules and isolates it. You bring the models; we provide the foundation they run on, under your control.

Owned or rented hardware

GPUs are hard to procure, so the platform is designed to run on hardware you own or capacity you rent, without changing how your teams use it. Bare-metal GPU nodes, the storage and networking to keep them fed, and the Kubernetes scheduling that makes them shareable across teams.

• Bare-metal GPU nodes, storage, and networking designed as one system
• Kubernetes scheduling and isolation that make GPUs shareable across teams
• High-performance distributed storage on Ceph for datasets and model artifacts
• Security and access governance so the platform stays auditable

Where this fits

This is the platform layer, not the model layer. We are the infrastructure engineers who make private AI reliable to run and keep in-house. Your data scientists, and your models, stay yours.