Unified Control Plane

Unified Visibility, Orchestration, and Governance for AI Infrastructure

The Animbus Control Plane is the centralized management and orchestration layer that governs all NeoCloud environments, Global L2 Fabric connectivity, and operational services. Rather than forcing applications, models, and data pipelines to adapt to fragmented regional networks, Global L2 Fabric presents the entire infrastructure footprint as one logical system.Rather than treating infrastructure, networking, and operations as separate silos, the Control Plane unifies them into a coherent operational model.

Core Architecture Capabilities

Single Pane of Glass

  • Unified visibility across all NeoCloud regions and environments
  • Centralized view of compute, storage, networking, and workloads
  • Consistent operational dashboards for platform and infrastructure teams
  • Reduced tool sprawl and operational blind spots.

Policy-Driven Orchestration

  • Declarative deployment and placement of AI workloads
  • Policy-based scheduling across regions and clusters
  • Automated enforcement of security, networking, and compliance rules
  • Consistent behavior regardless of deployment location.

Integrated Infrastructure Lifecycle Management

  • Provisioning and scaling of compute and network resources
  • Controlled upgrades and configuration changes
  • Coordinated lifecycle management across regions
  • Reduced risk from ad-hoc or inconsistent changes

Infrastructure evolves predictably as platforms scale.

centralized governance

Centralized Governance and Access Control

  • Unified identity and access management across environments
  • Role-based access aligned to enterprise operating models
  • Audit-ready visibility into actions and changes
  • Simplified enforcement of organizational standards

Governance is embedded into daily operations - not layered on afterward.

Designed for Distributed AI Platforms

As AI platforms scale, they introduce complexity across:

  • Multiple regions and deployment locations
  • Diverse workload types (training, inference, pipelines)
  • Rapid iteration cycles and frequent change
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Without a centralized control plane, this complexity results in configuraiton drift, inconsistent policies, and operational risk.

ideal for

UNIFIED Control Plane is made for organizations that:

  • Operate multi-region AI platforms
  • Require centralized governance and visibility
  • Need to scale infrastructure without increasing operational complexity
  • Demand consistent, auditable control across environments

the control plane integrates natively with:

  • Managed NeoCloud for dedicated AI compute
  • Global L2 Fabric for unified networking
  • Managed SRE & Compliance for reliability and governance

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