TOOLS / LONG-CONTEXT INFERENCE / TOOL #70

Enterprise Autonomous Agent KV-Cache Eviction & Attention Sink Compression Simulator

Simulate dynamic heavy-hitter token retention (H2O), attention sink preservation (StreamingLLM), 4x memory compression on 2M context windows, and sub-1% perplexity degradation across enterprise GPU clusters.

KV-Cache Compression Telemetry Profile

Pins initial attention sink tokens to prevent catastrophic entropy collapse, dynamically retains top-k heavy-hitter tokens via cumulative score oracles, and evicts stale middle-context tokens to slash VRAM footprint.

Memory Compression: Up to 4.2x VRAM Reduction
Perplexity Impact: <0.8% Degradation
Max Sustained Context: 2,097,152 Tokens