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[ARTICLE · art-158576] src=runtimewire.com ↗ pub= topic=ai-infrastructure verified=true sentiment=· neutral

TensorRT-LLM adds Mooncake cache sharing to its v1.4 release candidate

NVIDIA's TensorRT-LLM v1.4.0rc1 release candidate, published October 22nd, lists an integration with Mooncake Store that lets serving instances share KV-cache prefixes, with Mooncake's project update dating the merge to October 10th. The connector trades repeated prompt computation for shared host-memory capacity and KV-transfer overhead, and operators must weigh those costs against the GPU KV capacity still needed to serve cache hits.

by read1 min views2 publishedOct 27, 2026
TensorRT-LLM adds Mooncake cache sharing to its v1.4 release candidate
Image: Runtimewire (auto-discovered)

NVIDIA's October 22nd release candidate lists the connector, which lets serving instances reuse cached prompt prefixes. Operators trade repeated prompt computation for shared host-memory capacity and KV-transfer overhead.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 

Primary source: [The Cloudflare Blog](https://blog.cloudflare.com/kv-cache-exposure-remediation/)

Why it matters #

Shared prefix reuse can cut repeated prompt computation when requests arrive at different serving instances. Operators must weigh that potential saving against host-memory reservations, transfer copies and the GPU KV capacity still required to serve cache hits.

TensorRT-LLM's v1.4.0rc1 release candidate, released October 22nd, lists an integration with Mooncake Store for sharing KV-cache prefixes across serving instances. Mooncake's project update dates the merge to October 10th.…

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