[Neurips 2025] R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
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Updated
Jun 23, 2026 - Python
[Neurips 2025] R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
PiKV: KV Cache Management System for Mixture of Experts [Efficient ML System]
High-Performance KV Cache Sharing Library
An empirical study of benchmarking LLM inference with KV cache offloading using vLLM and LMCache on NVIDIA GB200 with high-bandwidth NVLink-C2C .
KV-cache compression for LLMs: reference implementations of TurboAngle and TurboQuant codecs with Triton GPU kernels
KV Cache with PagedAttention vs PagedAttention + TurboQuant - experiments across token sizes comparing memory, latency, and accuracy.
晚上下班不刷手机,学点什么。系列二:从 0 手写大模型推理框架,完成 Qwen3-4B 模型的本地单卡部署和 GPU 推理优化,显存不够可用 Qwen3-0.5B。
[MLSys-26] FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management
Prime Power Transformer: A Number-Theoretic Architecture for Compute
[SIGMOD 2025] PQCache: Product Quantization-based KVCache for Long Context LLM Inference
Design and audit autonomous agent loops using a tested framework for triggers, verification, guardrails, and human escalation.
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