Solutions · Hyperscalers and cloud platforms
More effective capacity from the fleet you already bought.
Hyperscalers and cloud platforms are measured on tokens delivered per dollar of capital. Metrale is a specialized runtime that outperforms the generic serving baseline on the same silicon, with a vendor neutral kernel path across NVIDIA and AMD.
Where it fits
Why it fits
- Every percent of effective capacity is reportable
- Mixed silicon estates that need one engine and one qualification record
- Partner programs that want an optimized runtime to recommend
- Design partnerships gated on datacenter class receipts, which is how we prefer to start
Workloads that move first
- Managed inference endpoints
- Marketplace runtimes for GPU instances
- Internal platform teams serving open weight models
How it deploys
Design partnership first. Free or discounted Enterprise access in exchange for production telemetry and a co published benchmark, then a commercial license at fleet scale.
The proof we bring
Hopper decode and prefill kernels already carry published receipts in the changelog, bit identical to the reference on production shapes. Datacenter class verification is the next artifact and this page will say when it lands.
Next step
See it against your own workload.
A side by side ladder on your hardware in week one. Your models, your criteria, your receipt.