Juno Orion is the customer-hosted unified compute plane for GPU/CPU workloads on Amazon EKS. Up to 40% AWS compute cost reduction and 2:1 GPU density in production.
OVERVIEW
Enterprise on-premises GPU utilization sits at 10-15%. The gap is not hardware. It is the absence of a scheduling layer that treats every GPU, CPU, VM, and container as one shared, policy-driven pool. Teams pay for idle capacity. Engineers manage provisioning queues instead of building.
Juno Orion is the unified compute plane for GPU/CPU-intensive workloads on AWS. Customer-hosted and production-hardened, Orion deploys into your existing VPC alongside Amazon EKS and turns your GPU fleet into a shared, request-driven resource pool. Containers, VMs, and bare metal run under one management layer. Provisioning takes 60 seconds. Juno is a member of the AWS Partner Network and is validated on NVIDIA DGX and H100 through NVIDIA Inception.
THE PROBLEM ORION SOLVES
GPU cycles go to waste. Clusters sized for peak demand sit at 10-15% utilization the rest of the time. Provisioning creates friction. Standard EKS workload setup requires Kubernetes expertise, IT ticketing, and 24-48 hours per session. That overhead compounds across every engineer, researcher, and artist on your team. VMs and containers live in separate worlds. Different tools, different policies, no shared scheduler. Orion solves all three from a single management layer.
KEY CAPABILITIES
GPU-Aware Scheduling and Workload Bin-Packing
Orion packs multiple concurrent workloads onto a single GPU node using time slicing with no contention. CPU, RAM, and GPU are treated as a unified pool allocated by policy. Teams typically see 2-4x more capacity from the same hardware footprint.
60-Second Self-Service Provisioning
End users launch workstations and compute environments in 60 seconds from a self-service portal. No IT ticket. No Kubernetes knowledge required. Administrators define templates once; users click and go.
VMs and Containers on the Same Cluster
KubeVirt runs full Windows VMs alongside Linux containers on the same EKS cluster with GPU passthrough included. No separate hypervisor contract. On AWS, Crossplane provisions EC2 instances directly from the Orion workload catalog. End users click once. Juno handles networking, security group assignment, authentication brokering, and lifecycle management with no public IP exposure.
Demand-Driven Autoscaling
The cluster scales up when users request compute and terminates resources the moment sessions end, so capacity follows demand across every user on the cluster.
Security and Isolation
Projects map to Kubernetes namespaces with enforced CPU, RAM, and GPU quotas per team. Network policies block east-west traffic between namespaces. Orion consumes JWT tokens from any identity provider including Okta, Google Workspace, Cognito, and Active Directory.
HOW IT WORKS ON AWS
Orion deploys into your existing VPC alongside Amazon EKS and integrates with GPU-accelerated EC2 instance types including G5, P4, P3, and Inf2. All traffic routes through Juno's ingress and authentication layer with no public internet exposure by default. Orion also runs across on-premises and fully air-gapped environments from the same management layer. Your data never leaves your environment.
PRODUCTION PROOF
Orion has been running under live GPU-intensive workloads since April 2025 with zero critical failures. R3D Studios, an AI-accelerated film production studio, runs Orion in production on Amazon EKS:
Up to 40% AWS compute cost reduction (EC2 On-Demand, no credits applied)
2:1 GPU density: 10 concurrent users across 5 GPU-accelerated nodes
60-second workstation provisioning, down from 24-48 hours
Infrastructure team reduced from 5 to 2 engineers, same production workload
24/7 global production with zero infrastructure tickets
"Juno just works for us. R3D wouldn't exist without Juno." - Donald Strubler, Head of Development and Co-Founder, R3D Studios
WHO RUNS ORION
AI/ML and LLM teams running multi-tenant GPU clusters on EKS. VFX and render pipelines needing GPU workstations provisioned on demand. HPC and research computing teams sharing GPU and CPU pools across batch jobs and simulation pipelines. VDI environments requiring Windows and Linux workstations in 60 seconds with no public internet exposure.
AWS PARTNER NETWORK
Juno Innovations is a member of the AWS Partner Network. Orion extends your existing AWS investment, running on EKS, provisioning EC2 resources, and integrating with your existing VPC, IAM, and storage configurations.
GET STARTED
Visit juno-innovations.com or contact the Juno team to scope a proof of value on your EKS cluster.
Highlights
GPU Time-Slicing and Bin-Packing: Juno Orion packs multiple concurrent workloads onto a single GPU node using time slicing, typically delivering 2-4x more capacity from the same hardware. GPU-aware scheduling and policy-driven placement work across G5, P4, P3, and Inf2 EC2 instance types.
Self-Service GPU Workstations in 60 Seconds: End users launch GPU workstations and compute environments in 60 seconds from a self-service portal. No IT ticket. No Kubernetes knowledge required. Administrators define workload templates once; users click and go. All traffic routes through Juno's authentication layer with no public IP exposure.
Windows VMs and Linux Containers on One EKS Cluster: KubeVirt delivers GPU passthrough with no separate hypervisor contract. Crossplane provisions EC2 instances directly from the Orion workload catalog. Supports cloud, on-premises, and fully air-gapped deployments from one management layer. Member of the AWS Partner Network.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing bills on one unit: the Managed CPU Core Hour. That equals one worker CPU core managed by the product for one hour. Your cost scales with how many worker cores you run and how long you run them. Only physical cores on worker machines count. Management nodes, users, and servers are not counted. GPUs attached to those workers add nothing to the count. You buy a set amount of core hours under a contract, and your remaining balance shows in the admin console.
Top-of-mind questions for buyers
Does running more GPUs raise my Managed Core Hour count?
No. The unit counts only physical CPU cores on worker machines. GPUs attached to those workers add nothing to the count, no matter how many you run. The GPU line on your quote stays at zero. You pay only for the worker CPU cores the product manages.
What happens if we use more cores than we bought?
Nothing stops. The product never shuts down a workload for running past the number you bought. Instead, the overage is reviewed at renewal and the subscription is adjusted from there. Air-gapped sites follow the same approach, with the true-up handled at renewal.
Are management nodes or user accounts counted toward the bill?
No. Only physical CPU cores on worker machines count toward Managed Core Hours. Management nodes are never counted. There are no per-user fees and no server counts. A 128-core worker counts 128 cores; a smaller worker counts its own physical cores.
www.juno-innovations.com
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Vendor refund policy
Juno Innovations offers a 30-day refund window from the date of contract execution for annual and multi-year contracts. Refund requests must be submitted within this period and will be reviewed on a case-by-case basis. No refunds are issued for monthly contracts or after the 30-day window has elapsed. To request a refund or discuss your contract, contact us at support@juno-innovations.com.
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Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Juno Innovations supports every Orion deployment. Standard support is included, with 12x5 coverage and a 24 business hour response on Sev 1 issues. Extended coverage options, including 24x7 support, are available on request. Support covers Orion clusters installed by Juno. Consulting and plugin development are scoped separately.
To discuss coverage options before or after purchase, email support@juno-innovations.com or visit juno-innovations.com.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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