From ab4af4f2da58d8fcf050415882d55cc3eb6bd0fa Mon Sep 17 00:00:00 2001 From: Copilot <198982749+Copilot@users.noreply.github.com> Date: Sun, 8 Feb 2026 00:21:14 +0800 Subject: [PATCH] [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 --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index edabe735..fd6f0283 100644 --- a/README.md +++ b/README.md @@ -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.