Solutions · Enterprise datacenters
You invested in the datacenter. Now get the most out of it.
Enterprises are buying accelerators faster than their serving software can use them. Metrale runs your models faster on the GPUs you own, governs what runs on them, and reports every business unit’s inference cost against what it was before.
Where it fits
Why it fits
- A GPU estate that is measured in utilization and blamed in budget meetings
- Several business units sharing one fleet with no chargeback
- A serving stack that takes a team to keep running
- A CFO who wants payback, not a percentage
Workloads that move first
- Internal assistants and copilots
- Document and knowledge workloads over private data
- Agent fleets for engineering and operations
How it deploys
On premises or in your cloud account. Complement your current engine on day one, move traffic workload by workload, decide at renewal on your own receipts.
The proof we bring
The payback model on the pricing page defaults to a 256 GPU fleet at a conservative 1.20x uplift and pays the license back in months. Change the inputs to your fleet.
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.