[Artificial Intelligence] DeepSeek releases DualPath | Breaking through the computing power bottleneck | KV cache dual path | Solving the storage bandwidth wall | Inference throughput | Agent key base | PD separation architecture | Pre-filling | Decoding efficiency

When large models evolve from conversational tools to autonomous agents, computing power is no longer the only winner, and the real Achilles heel becomes IO bandwidth. This video takes a look at the latest DualPath architecture released by DeepSeek to see how it can double the network card bandwidth utilization by reconstructing the data path, completely ending the embarrassing situation of powerful GPUs waiting for data. We will go into 5,000 lines of core code changes and analyze how the dual-path KV cache can achieve the theoretical upper limit of zero IO overhead. When the era of millions of contexts arrives, DeepSeek is using this set of system-level optimizations to redefine the underlying game rules that determine model performance. https://arxiv.org/pdf/2602.21548