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.
Why unsigned
KEDA + Kueue autoscaling with MIG-isolated GPU partitions. Pay nothing when idle. Burst to full cluster capacity on demand. No cold start tax beyond first request.
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.
HashiCorp Vault for secrets management. OPA Gatekeeper for admission control. External Secrets Operator syncs 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 server. Drop-in replacement for OpenAI API. Bring your own models or pull from our registry. One endpoint, any framework.
Under the hood
Architecture
Every layer is replaceable. No proprietary glue. Fork the stack and run it yourself.
Pricing
No platform fees. No egress charges. No surprise bills. You pay for GPU-seconds consumed. Scale to zero = $0.
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.
No spam. Early access and launch updates only.