This article is edited and created by AI. 26% Vulnerability in AI Agent Skills, Karpathy's Autonomous Research Tool, and the KV Cache Revolution — Today's AI Technology News From today's (June 14, ...
Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...
This repository implements CXL-SpecKV, a novel disaggregated KV-cache architecture that leverages Compute Express Link (CXL) interconnects and FPGA accelerators to enable efficient speculative ...
This repository contains the official implementation of DefensiveKV and LayerDefensiveKV, two novel KV cache compression methods introduced in our paper. This project is forked from the excellent ...
I just shipped TurboMLX — a KV cache compression library for #MLX on Apple Silicon — and opened a draft PR to upstream it into ml-explore/mlx-lm. The premise is simple: large language models spend ...
The key insight: instead of allocating gigabytes of RAM for the KV cache, DiskLLM stores it as a memory-mapped file on SSD. Only a 2048-token sliding window stays in RAM at any time. Flat memory usage ...
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