Principle:LMCache LMCache CacheBlend Performance Validation
| Knowledge Sources | |
|---|---|
| Domains | Benchmarking, Inference_Optimization |
| Last Updated | 2026-02-09 00:00 GMT |
Overview
A validation pattern that measures TTFT reduction and output quality when using CacheBlend compared to full recomputation.
Description
CacheBlend Performance Validation compares cold (no cache) and warm (blended cache) inference runs to quantify the TTFT improvement from segment reuse. The validation workflow: (1) warmup run, (2) first request stores segment caches, (3) second request with reordered segments triggers blending, (4) third request validates consistent output quality.
Usage
Run the blend example script to validate CacheBlend is working correctly and measure TTFT improvements for your model and workload.
Theoretical Basis
Validation measures:
- TTFT reduction: Second and third requests should be faster than the first (cache hit)
- Output quality: Blended output should match full recomputation output within acceptable divergence
- Recompute ratio impact: Higher ratios improve quality at the cost of reduced TTFT savings
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