Grid-aware compute for AI workloads.
FlexSys schedules training, image/video generation and inference onto whichever GPU capacity has the cheapest, greenest grid power right now — on our infrastructure, yours, or partner clouds.
Try the inference router live below — it's one of the platform's surfaces.
How a request flows
From your SDK to a GPU and back. Five replaceable layers — scroll to walk through them.
Routes follow the grid
The cheapest electron right now wins. We watch the wholesale market and steer inference toward the region paying the least for power.
Published rates
Live from our control plane, refreshed every 30 seconds. We pick the cheapest backend; you pay the same regardless of where the request lands.
Run the data plane in your DC
Same operator, your hardware, our control plane. Outbound-only agent — no firewall changes.
- Your data plane stays in your DCTokens, prompts and responses never leave your network. We see usage counts and routing metadata, nothing more.
- Same operator runs at Flipped + at youOne open-source kube operator. Identical FlexSysJob CRs. What we run in our cluster is what runs in yours.
- Outbound-only agent — no firewall changesThe agent dials out to our control plane over TLS. No inbound NAT, no exposed ingress, no shared VPC.
Honest engineering, named
No stock photos, no logos we don't actually use.
Stop paying frontier prices for non-frontier work.
Get a demo key in 30 seconds. Or book a 30-minute architecture call to talk about running FlexSys in your own DC.