The Control Plane Layer

ActiveSense sits above your existing AI infrastructure as a governance layer. It coordinates execution without interfering with model performance or framework behavior.

Applications

Your AI applications and services

ActiveSense Control Plane

Governance, observation, and safety

SolaceCore Execution Framework

Workload orchestration and execution

ActiveWorker

Individual task execution

NVIDIA Infrastructure

CUDA, Triton, vLLM, NIM

Core Components

SolaceCore

The execution framework that manages workload distribution, resource allocation, and lifecycle management. Provides the foundation for deterministic execution.

ActiveSync

Coordination layer that ensures state consistency across distributed execution. Manages synchronization and communication between components.

ActiveWorker

Individual execution units that run specific tasks. Workers are managed by SolaceCore and coordinated by ActiveSync.

SnapCalc

Analysis engine that provides real-time observation, state tracking, and behavioral analysis. Generates insights about system performance and drift.

QHTML

Semantic understanding layer that converts system state into human-readable and machine-interpretable descriptions. Enables clear communication about system behavior.

Execution Flow

  1. Request: Application submits workload to ActiveSense
  2. Validation: Control plane validates against governance rules
  3. Coordination: ActiveSync coordinates required resources
  4. Execution: ActiveWorker executes tasks on GPU infrastructure
  5. Observation: SnapCalc monitors execution and state changes
  6. Reporting: QHTML generates human-readable status

Governance Without Interference

The key architectural principle is non-interference. ActiveSense governs execution without modifying model behavior, framework operations, or infrastructure performance.

Observation

Monitor everything, control nothing.

Coordination

Guide execution without direct manipulation.

Safety

Enforce boundaries through governance rules.