Intel Pushing Xeon for Deep Learning
Intel has released a new benchmark test for its Xeon Scalable processors to show why enterprises should be considering them for their deep learning projects.
The report state that when using AWS Sockeye Neural Machine Translation (NMT) with Intel Math Kernel Library and Apache MXNet, results are four times faster using the the company's Xeon Scalable processor than with Nvidia's V100 GPU. Step-by-step instructions are detailed in the report for duplicating the results.
"These results demonstrate the gains of using Intel MKL with Intel Xeon processors. In addition, properly setting the environment variables gives additional performance and provides comparable performance to V100 (22.5 vs 23.2 sentences per second)," the benchmark report stated.
"In addition to these gains, additional optimizations are coming soon that we expect will further improve CPU performance."
The results follow a late 2017 academic report the company released focused on how several universities found using Intel Xeon Scalable processors for their deep learning training.
Nvidia is, of course, also pushing its offerings as the ultimate solution for deep learning, as is Qualcomm and AMD, as well as startups like Cerebras, KnuEdge and Groq.
About the Author
Becky Nagel is vice president of AI for 1105 Media, where she specializes in training internal and external customers on maximizing their business potential via a wide variety of generative AI technologies as well as developing cutting-edge AI content and events. She's the author of "ChatGPT Prompt 101 Guide for Business Uses," regularly leads research studies on generative AI business usage, and serves as the director of AI Boardroom, a new resource for C-level executives looking to excel in the AI era. Prior to her current position she was a technical leader for 1105 Media's Web, advertising and production teams as well as editorial director for a suite of enterprise technology publications, including serving as founding editor of PureAI.com. She has 20 years of enterprise technology journalism experience, and regularly speaks and writes about generative AI, AI, edge computing and other cutting-edge technologies. She can be reached at bnagel@1105media.com.