Tenancy, On Your Terms.
Radiant gives you versatile multi-tenancy options for cloud deployments so you can choose the perfect balance of isolation and performance for your users.
Our Approach to Multi-Tenancy
Hardware-enforced GPU partitioning
GPU workloads are segmented using MIG for NVIDIA and SR-IOV for AMD to create hardware-enforced GPU partitions.
Encrypted storage isolation
Storage is isolated at the volume and namespace level with encryption and policy-based access controls.
High-performance virtual fabrics
Networking uses BGP EVPN/VXLAN overlays, InfiniBand partitioning, and SR-IOV virtual NICs to deliver high-performance virtual fabrics.
Centralized policy enforcement
All segmentation policies are centrally enforced by the Radiant Control Plane, ensuring consistent governance across public cloud, partner clouds, and customer-owned clusters.
Pick the tenancy mode that's right for you
Soft tenancy
GPUs are shared between customers with namespace separation.
Strict tenancy
GPUs to be dedicated to customers under a shared control plane.
Private tenancy
GPUs and the control plane are dedicated to a customer.
Multi-tenancy in action
Empower every team to build fast, without compromising on security.
Cut GPU spend without cutting performance
Strict hardware governance
Hardware-accelerated segmentation across computer, storage, and networking under a single control plane for strict governance.
Flexible tenancy modes
Multiple tenancy modes help you deploy both public and private AI clouds, and cover a large addressable market.
Bare-metal level performance
Integrated within the platform with bare-metal level performance. No off-platform isolation andno performance tax.
Proven industry UI use cases
Sovereign AI & telcos
Radiant offers both full-stack exclusivity and resource sharing to implement AI clouds at scale.
Cloud service providers
Host thousands of customers on shared infrastructure.
Regulated industries
Strict multi-tenancy keeps your customer data, models and apps fully private.
