[TW] AI 技術分享會 Liger Kernel: Revolutionizing Large Language Model Training Through Optimizing GPU Operations

​Liger Kernel 自 Kafka 以來成為 LinkedIn 最快速成長的開源專案之一，通過創新的 GPU Kernel 優化解決大型語言模型訓練中的關鍵效率問題。

​透過簡單的一行程式變更，該系統即可提升 20% 的訓練速度，同時將記憶體消耗降低 60%，這得益於基於 Triton 的 GPU Kernel，針對高頻寬與共享記憶體之間的張量操作進行了精細化優化。

​其影響力通過顯著的採用指標展現：下載量達 35 萬次，200 次 Fork，以及 3,500 顆星的評價。該專案的合作開發團隊包括來自領先企業和研究機構的超過 50 名貢獻者，持續推動改進的生態系統發展。系統具備硬體兼容性，能在 NVIDIA、AMD 和 Intel 平台上高效運行，成為適用於多元運算環境的靈活解決方案。

​Liger Kernel 已與 Hugging Face、Lightning AI、Axolotl 和 Llama-factory 等業界領導者建立策略合作，並獲得 Anyscale、Roblox 和 LinkedIn 等企業的採用。其技術實力亦獲得 AI 領域知名人士的認可，包括 Andrej Karpathy、Jeremy Howard、Thomas Wolf（Hugging Face CSO）以及 Luca Antiga（Lightning AI CTO）的支持。

​講者: Byron Hsu, LinkedIn 資深軟體工程師

​講者介紹:
Byron (Pin-Lun) Hsu 是 LinkedIn 的 Liger Kernel 創始人，專注於大型 GPU 叢集的 Kernel 優化與分散式訓練。他以開發 Liger Kernel 和優化大型語言模型訓練聞名，同時是多個開源專案（包括 Flyte 和 Apache Software Foundation）的貢獻者。學士畢業於台大電機系，碩士畢業於 UC Berkeley。

Liger Kernel has emerged as one of the fastest-growing open-source projects from LinkedIn since Kafka, addressing critical inefficiencies in Large Language Model training through innovative GPU kernel optimizations.

​With a simple one-line code change, the system delivers a 20% increase in training speed while reducing memory consumption by 60%, achieved through sophisticated Triton-based GPU kernels that optimize tensor operations between high-bandwidth and shared memory.

​The project's impact is demonstrated by its remarkable adoption metrics, including 350,000 downloads, 200 forks, and 3,500 stars. Its collaborative development involves over 50 contributors from leading enterprises and research labs, fostering a robust ecosystem of improvements. The system's hardware-agnostic design ensures efficient operation across NVIDIA, AMD, and Intel platforms, making it a versatile solution for diverse computing environments.

​Liger Kernel has established strategic partnerships with industry leaders including Hugging Face, Lightning AI, Axolotl, and Llama-factory, while gaining enterprise adoption from companies like Anyscale, Roblox, and LinkedIn. Its technical merit has been recognized by prominent AI leaders, including endorsements from Andrej Karpathy, Jeremy Howard, Thomas Wolf (Hugging Face CSO), and Luca Antiga (Lightning AI CTO).

​Speaker: Byron Hsu, Senior Software Engineer at LinkedIn

​Byron (Pin-Lun) Hsu is the creator of Liger-Kernel at Linkedin, where he leads kernel optimization and distributed training for large-scale GPU clusters. He is known for developing Liger-Kernel and contributing to the optimization of LLM training. Byron is a committer to multiple open-source projects, including Flyte and the Apache Software Foundation. He graduated from NTUEE for undergrad and UC Berkeley for master.