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[Doc] add ROLL collaboration announcement to README Updates section (#1517) 

* Initial plan

* Add ROLL collaboration announcement to Updates section

Co-authored-by: stmatengss <11641725+stmatengss@users.noreply.github.com>

* Update collaboration date and details in README

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: stmatengss <11641725+stmatengss@users.noreply.github.com>
Co-authored-by: Teng Ma <teng-ma@linux.alibaba.com>
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@ -31,6 +31,7 @@ This repository also hosts its technical report and the open-sourced traces.
- **Jan 28, 2026**: [FlexKV](https://github.com/taco-project/FlexKV), a distributed KV store and cache system from Tencent and NVIDIA in collaboration with the community, now supports [distributed KVCache reuse](https://github.com/taco-project/FlexKV/blob/main/docs/dist_reuse/README_en.md) with the Mooncake Transfer Engine.
- **Jan 21, 2026**: Mooncake Project has been approved as a [PyTorch Ecosystem](https://github.com/pytorch-fdn/ecosystem/issues/52) project. See [PyTorch Landscape](https://landscape.pytorch.org/?item=optimizations--general--mooncake) for details.
- **Dec 27, 2025**: Collaboration with [ROLL](https://github.com/alibaba/ROLL)! Check out the paper [here](https://arxiv.org/abs/2512.22560).
- **Dec 23, 2025**: SGLang introduces [Encode-Prefill-Decode (EPD) Disaggregation](https://lmsys.org/blog/2026-01-12-epd/) with Mooncake as a transfer backend. This integration allows decoupling compute-intensive multimodal encoders (e.g., Vision Transformers) from language model nodes, utilizing Mooncake's RDMA engine for zero-copy transfer of large multimodal embeddings.
- **Dec 19, 2025**: Mooncake Transfer Engine has been [integrated into TensorRT LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/cpp/tensorrt_llm/executor/cache_transmission/mooncake_utils) for KVCache transfer in PD-disaggregated inference.
- **Dec 19, 2025**: Mooncake Transfer Engine has been directly integrated into vLLM v1 as a [KV Connector](https://docs.vllm.ai/en/latest/features/mooncake_connector_usage/) in PD-disaggregated setups.