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#kv-cache - page 3 | AI Briefing

Recent Trends in LLM Architecture: KV Sharing, mHC, and Compressed Attention

·1·2026.05.23 09:00

llama.cpp Asymmetric KV Cache Quantization Issue and Optimization Discussion

·3·2026.05.22 22:00

DeepSeek's $10 Trillion Grand Strategy

·2026.05.22 09:00

TurboQuant Accuracy and Performance Evaluation

·2026.05.15 05:00

The Inference Shift

·2026.05.12 09:00

A Journey Toward AI Self-Sufficiency (23 min read)

·2026.05.10 17:00

Probabilistic KV Routing: Adaptive Layer-wise Cache Sharing

·2026.05.05 09:00

8x Less Memory Than vLLM, FastDMS Released

·2026.05.05 06:00

vLLM Routing and KV (16 min read)

·2026.05.04 09:00

KV Cache Quantization Performance Comparison

·2026.05.02 08:00

SGLang fixes FP8 KV corruption and memory leak

·2026.05.01 21:00

KV Cache Locality: The Hidden Variable in LLM Serving Costs

·2026.05.01 09:00

Fixing a Race Condition Bug Found During Large-Scale GLM-5 Serving — Scaling Pain in Coding Agent Inference Infrastructure

·2026.04.30 10:00

Qwen KV Cache Benchmark

·2026.04.30 05:00

Recurrent Transformer: Greater Effective Depth and Efficient Decoding

·2026.04.29 09:00

Qwen 3.6 KV Cache Benchmark

·2026.04.29 02:00

Qwen3.6-27B IQ4_XS Regression

·2026.04.28 21:00

DeepSeek V4 KV Cache Usage

·2026.04.26 15:00

Qwen3.6 27B KV cache experiment

·2026.04.25 07:00

Benchmarking Inference Engines for Agentic Workloads

·2026.04.23 09:00

INT3·INT2 KV Cache Released

·2026.04.22 15:00

Flash Vision-Language-Action Inference for Autonomous Driving: FlashDrive

·2026.04.21 09:00

Cartridges·STILL Single-GPU Reproduction

·2026.04.21 01:00

Open-Source Reproduction of KV-Cache Compression Techniques

·2026.04.21 01:00

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