AIHardwareResearch
Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
NVIDIA explores co-designing AI model attention mechanisms optimized for GPUs to improve inference performance in agentic and long-context workloads where attention dominates computational cost.
As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time. Because attention now dominates that cost, how it is designed—not just how it is implemented—increasingly determines a model’s inference performance. Shaping model architecture around how GPUs execute it is the premise of AI model co-design. Source: https://developer.nvidia.com/blog/co-designing-ai-model-attention-for-fast-interactive-long-context-inference/