AI delivery

LLM Deployment

Governed inference on your infrastructure with engine choice and capacity controls.

Solution path

From constraint to operating model.

A linear corporate journey, fit, map products, unlock capabilities, prove outcomes.

Constraints, residency, tenancy, and who operates.

Suite modules that unlock this commercial path.

GPU, K8s, Shield, Vault, Edge as needed.

Demo, POC, assessment, then editions.

Products in this solution

Mapped to the Fusionative Enterprise portfolio, explore each product on Platform.

Core

Fusionative Core

Control plane, tenancy, clusters, VMs, bare metal, IAM, and GPU orchestration.

AI Factory

Fusionative AI Factory

LLM lifecycle on your hardware: Ollama, vLLM, SGLang, NIM, approval queues, and inference analytics.

Storage

Fusionative Storage

Fusion Ceph SDS (block, file, object, mirroring, multisite) plus FusionVault backup and DR.

Capabilities unlocked

Deep detail lives on Infrastructure, AI Cloud, Security, and Operations.

Ceph storage

Rook-operated Ceph: RBD, CephFS, RGW, plus RBD mirroring and RGW multisite from the control plane.

GPU orchestration

Schedule and govern accelerator pools so AI capacity is usable, not idle.

LLM lifecycle

Deploy, serve, and govern model runtimes inside your boundary.

Outcomes

Map FusioNative to a concrete AI cloud operating model, then book a demo or request a POC.

Prefer industry context? See how this pattern applies across industries or review anonymous estate patterns.