/ ai workloads

GPU-backed AI workloads, hardware-isolated.

Inference and training in Cloud Hypervisor microVMs with GPU passthrough. Backed by NVMe-grade local storage for training data; Wasm runtime for ultra-light inference at the edge.

/ what we're shipping

  • GPU passthrough via Talos system extensions.
  • Per-tenant microVM isolation — no shared kernel, no neighbors.
  • OpenEBS LocalPV for training-grade IOPS.
  • WasmEdge runtime for low-latency inference.
Targeted: post-web-servicesTalk to us about AI workloads

Ready to skip the trade-offs?

Join the waitlist. We'll send one email when the beta opens — that's it.