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DeepSeek Open-Sources Fire-Flyer File System (3FS): DeepSeek’s Storage Breakthrough for AI Workloads

DeepSeek has unleashed a seismic shift in AI infrastructure with the open-source release of ​Fire-Flyer File System (3FS), a distributed storage system engineered to obliterate data bottlenecks in modern AI workloads. As the final bombshell of its five-day “Open Source Week,” 3FS has already garnered ​1,100+ GitHub stars​ in under 2 hours, with developers dubbing…

DeepSeek Open-Sources DualPipe: The Bidirectional Pipeline Revolution Igniting AI Training Efficiency

DeepSeek has once again redefined the frontiers of AI infrastructure with the open-source release of ​DualPipe, a bidirectional pipeline parallelism algorithm that obliterates traditional training bottlenecks. As the fourth bombshell in its ongoing “Open Source Week,” DualPipe amassed ​800 GitHub stars​ within 60 minutes of launch, with developers lauding it as “the ​NVIDIA CUDA of…

DeepSeek Open-Sources DeepGEMM: A 300-Line CUDA Library Redefining FP8 Matrix Computation

In a move that sent shockwaves through the AI developer community, DeepSeek today unveiled ​DeepGEMM, an open-source FP8 matrix multiplication library that combines ​simplicity​ and ​raw computational power. Released under MIT License as part of its “Open Source Week” initiative, this 300-line CUDA gem has already sparked comparisons to “compiler sorcery” 🧙♂️ among GPU engineers….

DeepSeek Open-Sources DeepEP: A Revolutionary MoE Communication Library Ignites Developer Frenzy

DeepSeek once again electrified the AI developer community by open-sourcing ​DeepEP, a groundbreaking communication library designed for ​Mixture-of-Experts (MoE)​ architectures. As the second major release of its “Open Source Week,” DeepEP skyrocketed to 600+ GitHub stars within one hour, with developers hailing it as a “technical nuclear bomb for the MoE ecosystem” 💥 Project URL:https://github.com/deepseek-ai/DeepEP…

DeepSeek Open-Sources FlashMLA: The Inference Acceleration Breakthrough Taking GitHub by Storm

GitHub Star Surge: 400+ Stars in 45 Minutes, 5,000+ and Counting – Here’s Why Developers Are Obsessed Caption: FlashMLA achieves 3000 GB/s memory bandwidth on H800 GPUs – 3× faster than conventional methods. The Open-Source Earthquake: What Makes FlashMLA Revolutionary? 🚀 Key Technical Breakthroughs 70% KV Cache Reduction: Enables 10× longer context processing on same hardware 3000 GB/s…