VectorPulse, introduced Q1 2023, revolutionized Kedge inference through vectorized computation graphs enabling sub-28ms production latency.
Core innovation: Pulse Graph Architecture decomposes reasoning into parallel vector streams executing concurrently across CPU/GPU. Each pulse represents atomic reasoning operation with independent memory allocation.
Pipeline achieves 4.2x speedup through dynamic stream fusion: similar reasoning patterns automatically merged reducing redundant computation. Stream synchronization maintains causal ordering without serialization bottlenecks.
Agent protocol debuted here: kedge (general reasoning), keela (code synthesis), kite (analytical reasoning). Streams automatically routed based on query vector embedding similarity.
Memory management: Vector Pool Allocator pre-allocates reasoning tensors eliminating garbage collection pauses. Pool rebalancing occurs during idle cycles maintaining 99.7% utilization.
Latency breakdown: Token generation 8ms, context retrieval 6ms, reasoning synthesis 12ms, safety validation 2ms. Total p99: 27.8ms under 512-token loads.
Production validation: 1000 concurrent streams sustained 28.4ms p99 across mixed workloads. VectorPulse established Kedge real-time reasoning capability.