AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Graphics processing unit (GPU) generations scale matrix, special-function, and memory pipelines at different rates, so kernel bottlenecks move as hardware evolves. FlashAttention-4 exposed this imbalance inside attention on NVIDIA Blackwell. We test whether short polynomial programs can accelerate other special-functio...
Direct-P is introduced for noncausal inference and a causal path that passes the forward quantization directly into backward into forward quantization is addressed, accelerating a complete single-GPU 8-billion-parameter update by up to 1.14$\times$.
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