Solutions · Neoclouds and GPU providers
You sell GPU time. Metrale makes every hour of it produce more tokens.
When tokens are cost of goods sold, throughput per GPU is margin. Metrale lifts the throughput of the fleet you already bought, on NVIDIA and AMD from one codebase, and gives your customers a per workload cost they can plan around.
Where it fits
Why it fits
- Tokens per watt is literally your value proposition to your own customers
- Mixed NVIDIA and AMD pools with one engine and no second kernel tree
- Multi tenant routing with per tenant quotas and isolation tiers
- A ladder against your current engine on your own hardware in week one
Workloads that move first
- Open weight model serving at scale
- Agentic workloads at high concurrency
- Serverless endpoints with fast cold start from a single binary
- Idle hours priced live and rented out, when you opt in
How it deploys
Bring your own cloud or on premises. Enterprise license per GPU, volume tiers as the fleet grows. Co marketing of the results is on the table.
The proof we bring
On the published GB10 ladder Metrale wins every rung against the matched vLLM configuration and keeps climbing from C=64 to C=128 while the baseline flattens. That headroom is capacity you sell.
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.