docs: add AutoQuant KV mixed-precision quantization blog

README.md

@@ -27,6 +27,7 @@ Model Optimizer is also integrated with [NVIDIA Megatron-Bridge](https://github.
 
 ## Latest News
 
+- [2026/10/08] [BLOG: AutoQuant KV: Automatic Mixed-Precision KV Cache Quantization](https://nvidia.github.io/Model-Optimizer/announcements/autoquant-kv.html): Per-layer KV format search, GEMM composition, and a Qwen3-8B accuracy case study.
 - [2026/09/16] [BLOG: Scale Learning: Training NVFP4 Block Scales to Recover Accuracy](https://nvidia.github.io/Model-Optimizer/announcements/scale-learning.html)
 - [2026/09/16] [**End-to-end W4A4 NVFP4 + QAD tutorial for Qwen3.6-35B-A3B**](./examples/megatron_bridge/tutorials/Qwen3.6-35B-A3B): NVFP4 W4A4 PTQ plus quantization-aware distillation, reaching up to 1.30x vLLM throughput over BF16 and 3.1x smaller checkpoints while recovering the accuracy W4A4 costs.
 - [2026/09/09] [BLOG: Improving NVFP4 Accuracy with Local-Hessian Weight Scales](https://nvidia.github.io/Model-Optimizer/announcements/local-hessian.html)