01
Inventory capacity
GPU pools, clusters, and who needs self-service vs governed access.
What you build
AI Cloud Management Platform
Turn GPU, Kubernetes, and model serving into self-service AI cloud services: tenancy, catalog, quotas, and metering on your metal.
The operating idea
How AI Cloud Management works
FusioNative Cloud Management Software productizes accelerators and clusters: Cloud Admin, AI Factory (Ollama / vLLM / NIM / SGLang), GPU fleet observe, and FinOps hooks, not another GPU rental desk.
02
Stand up the plane
Core tenancy, quotas, catalog patterns, and Cloud Admin.
03
Serve models
AI Factory runtimes inside the boundary with approval queues.
04
Operate and meter
GPU fleet, APM, Capacity AI, and chargeback hooks.
Suite products in play
What ships in the suite
Each platform is an outcome on the same ten-product Enterprise suite, not invented SKUs.
Fusionative Core
01- Cloud Admin Dashboard and Tenant Portal
- Projects, quotas, and Permission Engine / IAM
- Workloads, Serverless (Knative), Virtualization (KubeVirt), AutoScaling (HPA / VPA / KEDA)
- Fleet Dashboard, cluster provisioning (kubeadm / MicroK8s / Charmed / MAAS), Multi-Cluster (Karmada)
- Helm, OLM / OperatorHub, kubectl Terminal
Fusionative AI Factory
02- Ollama, vLLM, NVIDIA NIM, and SGLang deploy paths
- Deployed models and inference analytics
- AI Approval Queue and AI Governance
- Predictive Maintenance
- Model inventory beside GPU-aware serving
Fusionative Observe
03- Observability: K8s, GPU fleet, virtualization, serverless, inference
- FN APM: traces, SLOs, RUM, service map, FinOps hooks
- FusionCapacity AI: forecast, rightsizing, GPU and cost planning
- Dashboard Builder
- Metrics, logs, traces, events, alerts, GPU and LLM metrics
Fusionative Storage
04- Kubernetes PVs / PVCs / StorageClasses
- Fusion Ceph (Rook): RBD block, CephFS, RGW object
- Fusion Ceph advanced: RBD mirroring, RGW multisite
- FusionVault: Velero/Kopia, etcd DR, ML models, WORM, Air-gap export/import
Fit check
Honest boundaries for this platform.
Choose when the estate matches or wait.
01
Not when
- You only need a public SaaS model API
- You have no mandate to run compute yourself
02
Fit when
- You own or will own on-prem / private GPU and Kubernetes
- You need governed inference, not only training jobs
- Platform teams will operate one control plane
Who this is for
Start from the role that owns it
Pick the brief that matches how you buy and run Cloud Management Software.