DeepSeek宣布：活动正式收官

Core Insights - DeepSeek's "Open Source Week" has successfully concluded, showcasing its commitment to transparency and collaboration in the AI field [1][7]. Group 1: Open Source Projects - The "Open Source Week" launched five projects from February 24 to February 28, covering various aspects of computing, communication, and storage [3]. - On February 24, the first open-source library, FlashMLA, was released, optimized for Hopper GPU, focusing on variable-length sequences and is now in production [4]. - On February 25, DeepEP was announced for public access, designed for MoE model training and inference, enabling efficient all-to-all communication and supporting low-precision operations [4]. - On February 26, DeepGEMM was open-sourced, a library for FP8 general matrix multiplication, featuring fine-grained scaling and supporting both standard and MoE group GEMM [5]. - On February 27, two tools (DualPipe and EPLB) and a performance analysis dataset were released, along with detailed explanations of parallel computing optimization techniques [5]. - On February 28, the release of 3FS was announced, which serves as an accelerator for all DeepSeek data access [6]. Group 2: API and Pricing Adjustments - DeepSeek reopened its API recharge function on February 25 after a 19-day suspension, accompanied by a structural adjustment in pricing [9]. - The pricing for the DeepSeek-chat based on the V3 model is set at 2 yuan per million input tokens and 8 yuan per million output tokens, while the DeepSeek-reasoner based on the R1 model is priced at 4 yuan per million input tokens and 16 yuan per million output tokens [9]. - On February 26, a peak-shifting discount pricing strategy was introduced, with significant reductions during specific hours, offering V3 at 50% off and R1 at 25% off [10]. Group 3: Market Impact - According to CITIC Securities, DeepSeek's open-source initiatives are expected to catalyze the AI+ theme, enhancing AI penetration across various industries and increasing demand for computing power [7].