#AI hardware optimization

DeepReinforce's CUDA-L1 framework uses Contrastive Reinforcement Learning to automatically optimize CUDA code, achieving an average 3.12× speedup and up to 120× acceleration across diverse GPU workloads.

Meta AI introduces CATransformers, a novel framework that co-optimizes AI models and hardware with carbon emissions as a key metric, enabling greener edge deployment without sacrificing performance.