Open-source DKV framework cuts KV-cache memory for long-context local inference
Om_5000 · reddit · 2026-07-25
DKV (DifferentialKV) is an open-source framework for compressing KV cache in long-context local LLM inference.
The project focuses on reducing memory usage through anchor-based representations, joint low-rank compression, exact residual preservation, and sparse routed attention. It ships with a CLI, MLX backend, CUDA backend under validation, a technical report, and a fully open-source implementation. The author is looking for technical feedback and possible integrations with llama.cpp, vLLM, and SGLang.
Related event: Open-source DKV compresses KV cache for local long-context inference(2 posts)→
More from Infra
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11
- Can a 7900 XTX 24GB run Qwen locally? Reddit seeks ROCm tok/s benchmarks — thenomadexplorerlife · 2026-09-11
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11