Git.M // Closed-Loop Runtime Controller

Observation & Analysis Layer Decision & Optimization Layer TELEMETRY TRACES METRICS SIGNALS DECISION POLICY ACTION VERIFY FEEDBACK ROLLBACK 01 LIVE GPU WORKLOAD 02 TELEMETRY INGEST 03 FINGERPRINTING 04 CAUSAL ATTRIBUTION 05 POLICY SELECTION 06 INTERVENTION APPLY 07 VALIDATION & REVERT 08 UPDATED RUNTIME STATE
Controller Registry

Active Loop

Current Strategy Continuous Optimization
Core Paradigm Git.M operates as an active, closed-loop runtime controller. Unlike passive profilers that only record history, Git.M continuously senses, decides, and intervenes to optimize GPU execution in real-time.
Sensing SLA < 1ms latency overhead
Instruction Click any node in the diagram to inspect its runtime operations, telemetry answers, and causal capabilities.