
Hardware-enforced GPU partitioning
GPU workloads are segmented using MIG for NVIDIA and SR-IOV for AMD to create hardware-enforced GPU partitions.

GPU workloads are segmented using MIG for NVIDIA and SR-IOV for AMD to create hardware-enforced GPU partitions.
Storage is isolated at the volume and namespace level with encryption and policy-based access controls.
Networking uses BGP EVPN/VXLAN overlays, InfiniBand partitioning, and SR-IOV virtual NICs to deliver high-performance virtual fabrics.
All segmentation policies are centrally enforced by the Ori Control Plane, ensuring consistent governance across public cloud, partner clouds, and customer-owned clusters.
GPUs are shared between customers with namespace separation.
GPUs to be dedicated to customers under a shared control plane.
GPUs and the control plane are dedicated to a customer.
Empower every team to build fast, without compromising on security.


Hardware-accelerated segmentation across computer, storage, and networking under a single control plane for strict governance.
Multiple tenancy modes help you deploy both public and private AI clouds, and cover a large addressable market.
Integrated within the platform with bare-metal level performance. No off-platform isolation and no performance tax.
Ori offers both full-stack exclusivity and resource sharing to implement AI clouds at scale.
Host thousands of customers on shared infrastructure.
Strict multi-tenancy keeps your customer data, models and apps fully private.