Pricing

See Orion in action

Pricing

See Orion in action

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Pricing

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See Orion in action

Edge & Data Center

One compute plane from core to edge.

Orion orchestrates GPU workloads, VMs, containers, and bare metal across distributed edge locations — with the same unified management you use in your data center. No lightweight trade-offs. No Kubernetes-only limitations.

Edge & data center outcomes

4×

Typically up to 4× more GPU workload density from existing hardware — same nodes, more concurrent workloads via time slicing

60s

Workload provisioning — same speed whether you're operating from the data center or a distributed edge node

100%

Sovereign operation — Orion runs fully on-premises from rack to remote edge, no cloud management plane required

Built for distributed infrastructure

Same compute plane from your rack to your remote site

Same compute plane from your rack to your remote site

🌐

Multi-site orchestration

Manage data center cores, regional clusters, and remote edge nodes from a single Orion compute plane. No per-site management stack. Policy, RBAC, and resource quotas propagate automatically to every node.

🔌

Heterogeneous GPU support

NVIDIA, AMD, and Intel GPU operators supported out of the box. Schedule mixed accelerator fleets across edge sites without per-vendor management stacks.

⚡

Bare metal GPU at the edge

Skip the hypervisor tax at constrained sites. Containers get direct PCIe access to the GPU — no virtualization overhead, no nested scheduling — so a 4-GPU edge box behaves like a 4-GPU edge box.

📡

Disconnected edge operation

Edge nodes continue running scheduled workloads during connectivity loss. When the link recovers, Orion syncs state and reconciles configuration automatically — no operator intervention required.

What teams deploy on Orion

AI inference at the edge

Run vision models, LLMs, and inference workloads on GPU-equipped remote nodes — results stay local, no data leaves the site

Manufacturing and industrial IoT

Computer vision and real-time analytics on the factory floor — low-latency, no cloud roundtrip, direct connection to plant systems

VMware migration

Migrate existing VM workloads to KubeVirt while containerized workloads run in parallel — transition at your pace, no production disruption

On-prem GPU training

Multi-node distributed training clusters on bare metal — no cloud egress, no licensing fees, full GPU utilization via time slicing. Bring your framework via Helm.

Multi-region data center

Route workloads across data center regions based on capacity, cost, and compliance — single management plane, no per-region silos

Hybrid cloud bursting

Failover escalation when a site loses GPU capacity: workloads reroute edge → regional core → cloud automatically, with policy and data residency rules preserved at every hop.

Your data center isn't your only compute location.

Data center, edge, distributed sites, or somewhere in between — Orion runs where your workloads actually are, on one compute plane.

Discuss your edge deployment →