Alibaba Cloud Accelerates AI Applications

Analytics Zoo and bfloat16 improve the performance of AI applications on seventh-generation Alibaba Cloud ECS instances.

At a Glance:

  • Seventh-generation Alibaba Cloud high-frequency ECS instances use the third generation of X-Dragon Architecture and 3rd Generation Intel® Xeon® Scalable processors.

  • 3rd Generation Intel Xeon Scalable processors deliver industry-leading and workload-optimized platforms by using enhanced Intel® Deep Learning Boost (Intel® DL Boost), which is a built-in artificial intelligence (AI) acceleration feature. Enhanced Intel DL Boost provides the first x86 support for bfloat16 in the industry, which enhances AI inference and training performance.

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Oleh

Executive Overview

This paper describes how to use Analytics Zoo and Brain Floating Point 16-bit (bfloat16) to improve the performance of artificial intelligence (AI) applications running on seventh-generation Alibaba Cloud Elastic Compute Service (ECS) instances.

Seventh-generation Alibaba Cloud ECS instances are powered by 3rd Generation Intel® Xeon® Scalable processors, and they provide bfloat16 support.

3rd Generation Intel Xeon Scalable processors can process complex AI workloads. By using enhanced Intel DL Boost, 3rd Generation Intel Xeon Scalable processors can deliver up to 1.93 times the AI training performance,1 up to 1.87 times the AI inference performance for image classification,2 up to 1.7 times the AI training performance for natural language processing (NLP),3 and up to 1.9 times the AI inference performance for NLP, compared with previous-generation processors.4 Many AI-training workloads from industry sectors such as healthcare, financial, and retail can benefit from the bfloat16 support provided by these processors.

Read the white paper - Accelerating AI Applications on Alibaba Cloud with Analytics Zoo and Bfloat16.