The advanced language capabilities of Yuan 1.0 necessitates a high number of parameters, which brings many challenges in model training and deployment. This article focuses on the computing challenges of Yuan 1.0 and the training methods used.
The amazing enhancements of Intel's new third-generation Xeon Scalable processors (Ice Lake),
lots of factors can influence the training performance. In this article, we use the ResNet50 model from MLPerf Training v1.0 benchmarks as an example to describe how to improve training speed with hardware and software optimization
Integrates hardware and software that helps data centers improve construction efficiency, simplifies operations management, and enhances operational efficiency.
New specification provides current system compatibility and a framework for mixed accelerator hardware applications
As basic IT infrastructure shifts from the on-prem private IT datacenter to the public/hybrid cloud with the growing demand for more computing performance, the world is facing a new challenge
As the world enters the 5G era, the common impression is that 5G will bring down consumer prices of information services.