01
Serving paths
Ollama, vLLM, SGLang, and NVIDIA NIM deploy paths from the control plane—pick the runtime that fits lab, throughput, or licensed NIM estates.
Fusionative AI Factory
Deploy, serve, and govern models inside your boundary.
AI Factory is the Fusionative Enterprise product for LLM lifecycle on your estate: runtime deploy paths, model inventory, AI Approval Queue, inference analytics, and predictive maintenance—on the same control plane as tenancy and GPU capacity.
On this page
Fusionative AI Factory only: serving paths, governed LLM lifecycle, approval, analytics, and predictive maintenance.
Three surfaces
Serve. Govern. Operate.
AI Factory keeps model ops on one product—runtimes, approval, and day-2 signals—without a separate console per engine.
02
Governed lifecycle
AI Approval Queue and model inventory keep deploys inside policy. Approval and inventory stay with the AI cloud plane, not a side console.
03
Operate & observe
Deployed-model and inference analytics, plus predictive maintenance signals, share Observe surfaces with the rest of the estate.
Serving engines
Ollama, vLLM, SGLang, and NVIDIA NIM—named as they ship.
Choose the runtime that fits the estate. Tenancy, quotas, and AI Approval Queue stay with FusioNative.
Lab · local paths
Ollama
Fast local and lab serving paths for teams proving models on estate hardware before production throughput work.
High-throughput
vLLM
Production-oriented high-throughput inference for GPU fleets that need density and serving scale.
Structured generation
SGLang
Structured generation serving path when the workload needs SGLang-class execution on your cluster.
Licensed NIM
NVIDIA NIM
NVIDIA NIM paths where licensing and estate design call for NIM microservices—named as NIM, not a rebrand.
LLM lifecycle
Inventory · approve · serve · observe.
Governed model ops stay on the AI Factory product—from inventory through serving and inference signals.
01
Inventory
Track deployed models and runtime posture on the estate
02
Approve
AI Approval Queue and governance before production serve
03
Serve
Ollama, vLLM, SGLang, or NIM with GPU-aware placement
04
Observe
Inference analytics and predictive maintenance signals
Product capabilities
What ships in Fusionative AI Factory.
Aligned to the Enterprise suite: deployed models, inference analytics, approval, governance, and predictive maintenance—plus GPU-aware adjacency via Core.
01
Deployed models
See what is running where—runtime, endpoint, and project context—without leaving the AI Factory operating surface.
02
Inference analytics
Serving and inference signals for operators who need to know if capacity and latency match the workload.
03
AI Approval Queue
Governed promotion of models and serving changes with an approval path designed for regulated and sovereign operators.
04
AI Governance
Policy-aligned model ops beside tenancy and quotas—so self-service stays inside the same plane of record.
05
Predictive Maintenance
AI Factory predictive maintenance paths that sit next to GPU and inference estates—not a disconnected monitoring SKU.
06
GPU adjacency
Serving placement stays GPU-aware via Fusionative Core orchestration. Deep GPU pool detail lives on the AI Cloud GPU band.
Clear scope
AI Factory is model ops on your estate—not a rental desk.
Keep the product honest: runtimes and governance you operate, not a public model marketplace.
01
AI Factory owns
- LLM lifecycle on your hardware
- Ollama / vLLM / SGLang / NIM paths
- AI Approval Queue and model inventory
- Inference analytics and predictive maintenance
- Governed serve inside the estate boundary
02
Not this page
- Generic GPU rental marketplace claims
- Public SaaS model APIs as the product
- Separate ops console per runtime
- Ungoverned shadow model deploys
- Slideware without deploy paths
Put model ops on the same plane as your AI cloud.
Walk Ollama, vLLM, SGLang, and NIM paths with approval queues and inference analytics—on hardware you control.