A Kubernetes-native AI/ML platform. Deploy inference endpoints and training jobs on GPU clusters with scale-to-zero, zero-trust networking, and no vendor lock-in — every layer is open source and replaceable.
KEDA + Kueue autoscaling with MIG-isolated GPU partitions. Pay nothing when idle. Burst to full cluster capacity on demand. No cold-start tax beyond the first request. Replica counts are unsigned — there is no going below zero.
Cilium eBPF dataplane with WireGuard-encrypted pod-to-pod traffic. Network policies enforced at the kernel level. mTLS everywhere, no sidecars.
Prometheus, Grafana, Loki, and Jaeger pre-configured. GPU utilization, inference latency, and cost dashboards out of the box. Alert on what matters.
Vault for secrets management, OPA Gatekeeper for admission control, External Secrets Operator syncing credentials. Nothing hardcoded, ever.
ArgoCD manages the full stack. Every change is a pull request. Every deployment is auditable. Rollback is a git revert.
NVIDIA Dynamo + Triton inference serving. Drop-in replacement for the OpenAI API — bring your own models or pull from the registry. One endpoint, any framework.
Every component is open source. The platform is the integration, not the lock-in.
Every layer is replaceable. No proprietary glue. Fork the stack and run it yourself.
No platform fees. No egress charges. No surprise bills. You pay for GPU-seconds consumed — and scale-to-zero means idle costs exactly $0 — an honest, unsigned zero.
Per-second rates publish with the public beta. Founding teams lock their rates in before launch — that lock survives GA.
A100 80GB · MIG 3g.40gb + full
H100 80GB · MIG + full
CPU · general purpose
0x05 · Early access
We're onboarding a small group of teams for the private beta. Founding users get locked-in pricing and direct access to the engineering team.
Request Accessopens your mail client — tell us your team, workload, and GPU needs