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title: Your GPUs keep re-reading the same conversation. I built...
description: Slipcase is a tool that snapshots and restores LLM inference session state (KV cache and attention tensors) to disk, eliminating the need to re-read entire...
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og:title: Your GPUs keep re-reading the same conversation. I built the save button. | daily.dev
og:description: Slipcase is a tool that snapshots and restores LLM inference session state (KV cache and attention tensors) to disk, eliminating the need to re-read entire...
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# Your GPUs keep re-reading the same conversation. I built the save button.

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

Slipcase is a tool that snapshots and restores LLM inference session state (KV cache and attention tensors) to disk, eliminating the need to re-read entire conversation histories on session resume. Benchmarks on an A100 with a 7B model and ~97K-token context show 19.2× faster time-to-first-token in warm conditions and 2.5–4.8× in cold-disk scenarios. The system uses a cryptographic manifest to ensure bit-exact restore fidelity, falling back to transcript replay on any mismatch. It targets self-hosted vLLM deployments with long-context, resume-heavy workloads like agent fleets and companion platforms. Limitations include dependency on fast local disks and engine-family binding of snapshots.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@antonio.b.deleon/your-gpus-keep-re-reading-the-same-conversation-i-built-the-save-button-c874331dca73>

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---

Tags: [#gpu](https://daily.dev/tags/gpu), [#ai-inference](https://daily.dev/tags/ai-inference), [#vllm](https://daily.dev/tags/vllm)

[View this post on daily.dev](https://daily.dev/posts/your-gpus-keep-re-reading-the-same-conversation-i-built-the-save-button--cqjw6kjro)

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