Node and workload control
Register nodes, track resources and reconcile workload state across the environment.
AI infrastructure control
NAIM registers infrastructure, records desired state and places workloads on suitable nodes. Operators can manage models, training, skills and Knowledge Vault content through one platform.
AI infrastructure control
NAIM is the core control plane for Chainzano AI infrastructure and distributed application services.
Operating role
NAIM connects the operator surface with node agents. Nodes report inventory and telemetry, while the control plane schedules work and reconciles the required state. Stable interaction APIs support client applications and automated workflows.
Capabilities
The capability list describes the current product role and the points that belong in a technical evaluation.
Register nodes, track resources and reconcile workload state across the environment.
Import, convert, prepare and serve models, and manage training work from one platform.
Give AI services controlled instructions and company knowledge for their work.
Connect operator tools, client applications and automated workflows to the same control plane.
Deployment environments
Use these environments to define the first deployment scope and its acceptance criteria.
Operate compute across data centers, offices and edge locations.
Deploy company models and knowledge inside a controlled infrastructure boundary.
Provide models, skills, knowledge and workload control to connected applications.
Deployment basis
Use NAIM to operate distributed AI infrastructure from one controlled system.
Faster deployment and clearer control across AI nodes, models and operational workflows.
Operator access
The portal link opens the sign-in page. It is not a public product demo.
Start a consultation
Share the operating problem, infrastructure scope and required result. Chainzano will prepare the NAIM deployment discussion.