AIStation is an Inspur-developed AI development platform specifically designed to deal with these issues by offering an easy to set up and refined GPU resource scheduling system.
Inspur joined with Xishuangbanna National Nature Reserve to develop an extensive technology system for the conservation of some 300 Asian elephants in Yunnan, China.
Inspur teams up with DNA lab to trace the origin of human civilization
With the help of today’s intelligent computing, researchers are now more easily able to find out more about our world from critically examining the artifacts of the past.
By Arthur Kang, SPEC OSSC Member / OSG ML Chair, Performance Architect, Inspur Information
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