ByteDance achieved a major breakthrough in its cooperation with Peking University. It successfully built a huge cluster consisting of more than 10,000 GPUs and used the independently developed MegaScale system to complete the training of the GPT-3 model in only 1.75 days. This achievement significantly improves model training efficiency and demonstrates its strong strength in the field of high-performance computing. The system also surpassed the industry benchmark NVIDIA Megatron-LM in terms of computing power utilization, reflecting ByteDance’s deep accumulation in algorithm optimization and system engineering.
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ByteDance and Peking University successfully built a Wanka cluster, introduced the MegaScale system, and completed training of a large-scale GPT-3 model in 1.75 days. The system achieved a computing power utilization of 55.2%, surpassing NVIDIA Megatron-LM. In order to improve efficiency and stability, they have made improvements in algorithms, communication overlap, operator optimization, etc. At present, Byte has established a GPU cluster with more than 10,000 cards and is building a large-scale Hopper architecture cluster.ByteDance continues to make efforts in the field of AI. Its technical strength and engineering capabilities in ultra-large-scale model training are eye-catching, and its future development is worth looking forward to. The successful construction of the Wanka cluster not only represents a technological breakthrough, but also provides new possibilities and more efficient solutions for large model training.