Inference Architecture & Memory Management Lab

Enterprise LLM Context Window Cache & KV Eviction Simulator

Simulate LLM KV cache memory allocation, PagedAttention fragmentation, Automatic Prefix Caching hit ratios, and TTFT latency across multi-turn enterprise agent workflows.

KV Cache Architecture & Prefill Optimization

Automatic Prefix Caching (RadixAttention)

Caches shared system prompt SOPs and historical turn key-value tensors in a radix tree. Cuts Time-To-First-Token (TTFT) by 80% to 92% across multi-turn agent loops.

Efficiency: Sub-25ms TTFT on Repeated Context

Naive Contiguous Buffer Allocation

Pre-allocates maximum context VRAM upfront, suffering from 68%+ virtual memory fragmentation and recomputing entire prompt histories on every turn.

Fragmentation: 68%+ VRAM Waste