Deep learning inference performance on the Yitian 710
In recent years, deep learning has been widely implemented in various areas of industry, such as vision, natural language processing, and recommender systems. The exponential rise in the number of deep learning model parameters and the new business demand for complex models require cloud vendors to reduce arithmetic costs and improve computational efficiency. This condition is especially true in deep learning inference, which has become our focus for optimization. Under this influence, Alibaba Cloud unveils the new Arm server chip - Yitian 710, with the 5nm process. Yitian 710 is based on Arm Neoverse and supports the latest Armv9 instruction set. This instruction set includes extended instruction such as Int8 MatMul, BFloat16 (BF16), and others, enabling a performance advantage in high-performance computing.
In this blog post, we focus on Alibaba Elastic Cloud Service (ECS) powered by Yitian 710 to test and compare the performance of deep learning inference.
To read the full article, click here
Related Semiconductor IP
- SoC Security Platform / Hardware Root of Trust
- SPI to AHB-Lite Bridge
- Octal SPI Master/Slave Controller
- I2C and SPI Master/Slave Controller
- AHB/AXI4-Lite to AXI4-Stream Bridge
Related Blogs
- Improve Apache httpd Performance up to 40% by deploying on Alibaba Cloud Yitian 710 instances
- The CEVA-XM6 Vision Processor Core Boosts Performance for Embedded Deep Learning Applications
- AImotive Expands Into Silicon IP for Deep Learning Inference Acceleration
- Take your neural networks to the next level with Arm's Machine Learning Inference Advisor