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
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
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
- Scaling Out Deep Learning (DL) Inference and Training: Addressing Bottlenecks with Storage, Networking with RISC-V CPUs
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility