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New tool validates local LLM KV cache performance under pressure

A new open-source tool called `cache-pressure` has been developed to accurately measure the KV cache performance of local LLMs under stress. The tool validates advertised cache sizes by filling the cache with contexts and then testing eviction policies. Initial results using the tool on vLLM showed that the advertised cache size of 2 million tokens actually supported 3 million retained tokens after the developer's fixes, significantly outperforming the previous configuration which retained only about half the advertised capacity. AI

IMPACT Provides a method for users to verify and optimize the actual token capacity of their local LLM deployments.

RANK_REASON The cluster describes a new open-source tool for validating LLM cache performance.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New tool validates local LLM KV cache performance under pressure

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2 / 100
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Tool
The cluster describes a new open-source tool for validating LLM cache performance.
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infra, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/t4a8945 ·

    Validate your local LLM advertised KV cache against real pressure; see exactly how old contexts get evicted from cache

    <!-- SC_OFF --><div class="md"><p>Hello,</p> <p>I'm a bit obsessed with cache management on local LLMs.</p> <p>For the last few days I've been working on cache management on vLLM with my 2x DGX Spark and DeepSeek v4 Flash 0731. I felt something was off so I investigated, found is…