Policy-Driven Multi-Cluster Orchestrator
Manual multi-cluster orchestration inflates TCO for Enterprise AI Compute.
Nova is a Policy-Driven Multi-Cluster Orchestrator for On-Prem, Hyperscalers, and Neoclouds.
Lower TCO and AI Operating Costs by using Nova to schedule your Enterprise AI stacks like Nvidia AI Enterprise, Ray, and PyTorch across any Kubernetes cluster running on On-Prem (Cisco, OpenShift, Tanzu, RedHat, Nutanix, SUSE), Hyperscaler (EKS, GKE, AKS, OKE), or NeoCloud (CoreWeave, Lambda Labs, Nebius, Crusoe, Vultr)
Nova is a Policy-Driven Multi-Cluster Orchestrator for On-Prem, Hyperscalers, and Neoclouds.
Lower TCO and AI Operating Costs by using Nova to schedule your Enterprise AI stacks like Nvidia AI Enterprise, Ray, and PyTorch across any Kubernetes cluster running on On-Prem (Cisco, OpenShift, Tanzu, RedHat, Nutanix, SUSE), Hyperscaler (EKS, GKE, AKS, OKE), or NeoCloud (CoreWeave, Lambda Labs, Nebius, Crusoe, Vultr)
Why Nova?
GPU Aware Scheduling |
Multi-Cloud Scheduling |
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Use Cases
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GenAI, LLMs, RAG, Vector Databases |
AI Frameworks like Ray, PyTorch, Spark |
Burst from On-Prem to Hyperscalers/Neoclouds |
Multi-Cloud Disaster Recovery |
Nova in Action
Watch Nova dynamically source GPUs for AI Inference from On-Prem Cisco AI Pod, Azure, and Nebius!