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2026

TensorOps Research: What We Learned Optimizing KV Caches
KIVI: The Most-Cited KV Cache Baseline, Implemented in MLX
Hands-On: Compressing Your First LLM with VeloxQuant-MLX
I Wrote a Metal Kernel to Stop My Mac From OOMing
TurboQuant + Metal Kernels: The Combined Writeup
Benchmark Results: 10 Models, 8 Compression Configs
I Ported a Google Research Paper to Apple Silicon
VeloxQuant-MLX: Fast KV Cache Quantization for Apple Silicon

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