
The gap
Layer 1 — The infrastructure
Compute exists. Kubernetes makes it easier to manage.
Layer 2 — The tooling
Kubernetes tools exist — Rancher, OpenShift, Tanzu make clusters easier to run.
Layer 3 — The gap
What about the actual workloads? What about the engineer who doesn't want to touch YAML? Nobody bridges the gap between cluster administrator and end user. That's what Orion does.
Orion capabilities
What Orion does that no one else does
GPU orchestration
Native NVIDIA, AMD, and Intel GPU operators with time slicing, MIG, and vGPU — configured through a UI, not YAML
VM management
KubeVirt-powered Windows and Linux VM orchestration on the same cluster as containers — no separate hypervisor stack
Multi-cloud support
AWS, GCP, Azure, on-prem, bare metal — orchestrate across all of them from one unified compute plane without rewriting pipelines. If an AWS region goes down, Orion provides immediate failover to another provider. If a cloud raises prices, you have a path out. Deploy the same way on everything and you always have options.
VMware migration path
Run VMs alongside containers during transition. No forced rip-and-replace — migrate workloads at your own pace while keeping existing operations running
Cost optimization
GPU time slicing, topology-aware scheduling, and ephemeral workloads that tear down automatically — driving utilization up and idle waste down
Air-gapped / on-prem native
Runs fully disconnected with zero external dependencies — licensing, telemetry, and orchestration all operate within your perimeter
No vendor lock-in
Installs as a Helm chart on any CNCF-conformant Kubernetes distribution. No proprietary operators, no custom resource definitions that trap you
Bare metal orchestration
Schedule containerized and virtualized workloads directly on bare metal nodes — no cloud layer required, no abstraction tax on performance
Zero YAML administration
Researchers and artists provision workloads through a browser — no Kubernetes knowledge required. Admins configure once, users self-serve from then on.
No funded competitor delivers all eight.
VMware migration + GPU intelligence + air-gapped deployment — in one compute plane. No one else does all three.
Post-Broadcom pricing makes it unaffordable for most enterprises — and migration is now urgent.
No GPU intelligence — built for a pre-AI infrastructure world. Containers only.
Locks you into RHEL CoreOS. Complexity requires 3–5 dedicated engineers just to maintain it.
Hardware agnostic. GPU-native. Air-gapped. Runs on any CPU, GPU, or bare metal. No proprietary hardware requirements.
† Cost estimates based on publicly available vendor pricing as of Q1 2025. Actual pricing varies by configuration and contract terms. Air-gap capability available across platforms; effort to implement varies significantly by architecture.
How Orion compares
K8s-only tools (Cast AI, ScaleOps)
Strong for container-heavy cloud cost optimization — no VM support, no VMware migration path. Air-gap is technically supported, but reaching full functionality in a disconnected environment requires significant infrastructure lift to pull everything into the network.
VM platforms (VMware Tanzu)
Handles VMs well but doesn't orchestrate containers and GPUs together on the same cluster. And Broadcom's pricing changes have made it increasingly expensive for organizations who just want to run workloads.
Cloud-first platforms (OpenShift, Spectro)
Air-gapped deployments are technically possible but require significant setup and ongoing maintenance — the architecture is cloud-first. Full functionality in truly disconnected environments involves considerable lift and shift that most teams underestimate.
Hyperscalers (AWS Outposts, Azure Arc)
Tools like Azure Arc and AWS Outposts make it easier to stay, not easier to leave. They bring the cloud to your data center — you still need connectivity, still pay egress, still need an AWS or Azure account as the management backbone. That's not on-premises, it's cloud with hardware.
The clock
In production
Donald Strubler
Head of Technology, R3D Studios
"Orion shifted our focus from finding stability to using the stability to iterate."
~40%
Compute cost reduction
60 sec
User request to workload running
Zero
Critical failures since deployment
Tell us what you're running today.
We'll tell you honestly whether Orion is the right fit. Most teams are surprised how quickly they can run a proof of concept on their own infrastructure.
