华为版《黑客帝国》首次亮相：训推复杂AI前先“彩排”，小时级预演万卡集群

Core Viewpoint - Huawei has introduced a "digital wind tunnel" technology that allows for virtual environment simulations before training complex AI models, aiming to reduce over 60% of computational waste caused by hardware resource mismatches and system coupling [1][2]. Group 1: Digital Wind Tunnel - The digital wind tunnel serves as a virtual platform for simulating AI model training and inference processes, enabling early problem detection and configuration optimization [1][3]. - This technology is likened to automotive wind tunnel testing, where it helps in avoiding inefficiencies during the training phase of AI models [2][3]. Group 2: Sim2Train Platform - Huawei's Sim2Train platform simulates the training process to identify optimal hardware configurations and training strategies, enhancing the performance of Ascend devices [5][9]. - The platform employs a modular approach to build complex models and analyze resource consumption, improving the efficiency of large-scale training clusters [7][8]. Group 3: Sim2Infer Platform - The Sim2Infer platform enhances end-to-end inference performance by 30% through multi-level modeling and simulation of inference systems [13]. - It includes features such as load characteristic simulation, hardware architecture analysis, deployment strategy description, and automatic search optimization for model structures and configurations [14]. Group 4: Sim2Availability Framework - The Sim2Availability framework ensures high availability of large models on clusters by simulating various faults and their impacts, thereby improving system reliability [16][17]. - It utilizes a Markov model to monitor the state of the system and analyze recovery strategies for different types of hardware failures [18][20].