Pack more work on each GPU
Fractional sharing (MIG), secure segmentation, and node‑level bin‑packing put capacity to work instead of leaving it stranded.
How Ori unlocks GPU efficiency
Place workloads where they fitA global control plane sees real‑time capacity and latency across sites and regions, then routes training and inference to the best location.
Keep data close to computeHigh‑throughput storage paths and data locality awareness keep accelerators fed, not waiting on I/O.
Elastic scale without wasteAutoscaling helps you expand coverage just in time and scale down to zero to reduce idle burn.
The Ori advantage
- One cluster for many uses
Train, fine‑tune, and serve on the same fleet without rewiring.
- Higher throughput,lower latency
Enhance the experience for your customers.
- Lower total cost to serve
Since idle and fragmentation drop across teams, regions, and tenants.
Compute pooling
Consolidate GPUs and accelerators across teams and geographies into an optimized resource pool to maximize utilization.
Observability and FinOps built in
See what mattersGranular compute usage metrics, audit trails and service-level usage across locations, users and organizations.
- Enable chargebacks with confidence
Monitor and accurately bill customers or internal teams based on usage, by the minute.
- Capacity allocation
Enable fair resource sharing among customers and teams, while supporting burst capacity when needed.