Add KTransformers Support in README.md

Add KTransformers Support in README.md for MiniMax-M2.1.

README.md

@@ -184,6 +184,10 @@ We recommend using [SGLang](https://docs.sglang.ai/) to serve MiniMax-M2. SGLang
 
 We recommend using [vLLM](https://docs.vllm.ai/en/stable/) to serve MiniMax-M2. vLLM provides efficient day-0 support of MiniMax-M2 model, check https://docs.vllm.ai/projects/recipes/en/latest/MiniMax/MiniMax-M2.html for latest deployment guide. We also provide our [vLLM Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/vllm_deploy_guide.md).
 
+### KTransformers
+
+We recommend using [KTransformers](https://github.com/kvcache-ai/ktransformers) to serve MiniMax-M2.1. KTransformers provides efficient day-0 support for MiniMax-M2.1 model and can run the native weights with **≥32GB VRAM** and **≥256GB DRAM**. For installation and usage, see [KTransformers MiniMax-M2.1 Tutorial](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/MiniMax-M2.1-Tutorial.md).
+
 ### MLX
 
 We recommend using [MLX-LM](https://github.com/ml-explore/mlx-lm) to serve MiniMax-M2.  Please refer to our [MLX Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/mlx_deploy_guide.md) for more details.