Alibaba Cloud and Tsinghua University Open-Source Mooncake: A New Era forLarge Model Inference
Alibaba Cloud and Tsinghua University have jointly open-sourced Mooncake, a high-performance inference framework designed to accelerate the deployment and utilization of large language models (LLMs). This collaboration marks a significant step towardsdemocratizing access to advanced AI technologies and fostering a vibrant open-source ecosystem.
The Mooncake architecture, initially unveiled in June 2024 bythe domestic LLM application Kimi and Tsinghua University’s MADSys Lab, centers around KVCache. This innovative approach utilizes PD separation and a compute-in-memory architecture, significantly boosting inference throughput for Kimi’s intelligentassistant while simultaneously reducing costs. The framework’s efficiency and cost-effectiveness have garnered significant industry attention since its launch.
Now, through a collaborative effort involving Tsinghua University, research organization 9#AISoft, Alibaba Cloud,and other leading enterprises and research institutions, Mooncake is being made publicly available. This open-sourcing initiative aims to encourage broader participation from manufacturers and developers in building a robust, high-performance inference framework infrastructure.
The Mooncake project is a direct outcome of the innovative research plan (AIR) between Alibaba Cloudand Tsinghua University. This collaborative research focused on practical industrial applications of LLM resource pooling, resulting in several key technological advancements. A primary focus was accelerating LLM inference technology, particularly standardizing the caching pooling layer for shared inference instances. The partnership led to the development of Mooncake, which integrates withmainstream LLM inference frameworks. By abstracting the underlying interfaces of the caching pooling layer, Mooncake achieves a highly efficient, distributed resource decoupling architecture. Furthermore, the framework is deeply optimized for LLM scenarios, enhancing the inference performance of extra-long contexts.
The open-sourcing of Mooncakerepresents a pivotal moment for the LLM landscape. By providing a standardized, open-source framework, Alibaba Cloud and Tsinghua University are lowering the barrier to entry for developers and businesses seeking to leverage the power of LLMs. This collaborative approach promises to accelerate innovation and democratize access to cutting-edge AI technologies, ultimately benefiting a wider range of applications and industries. The project’s success hinges on the collaborative efforts of the broader developer community, fostering a shared ecosystem of innovation and progress. Future developments will likely focus on further optimization, community expansion, and integration with diverse hardware platforms.
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