Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
产业动态
来源：NVIDIA 技术博客发布时间待核实
As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because... As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because attention now dominates that cost, how it is designed—not just how it is implemented—increasingly determines a model’s inference performance.