industry news
Subscribe Now

Fujitsu Develops Deep Learning Acceleration Technology, Achieves World’s Highest Speed

TOKYO, Apr 1, 2019 – (JCN Newswire) – Fujitsu Laboratories Ltd. has developed a technology to improve the speed of deep learning software, which has now achieved the world’s highest speed when the time required for machine learning was measured using the AI Bridging Cloud Infrastructure (ABCI) system, deployed by Fujitsu Limited for the National Institute of Advanced Industrial Science and Technology (AIST).

With the spread of deep learning in recent years, there has been a demand for algorithms that can execute machine learning processing at high speeds, and the speed of deep learning has accelerated by 30 times in the past two years. ResNet-50(1), a deep neural network for image recognition, is generally used as a benchmark to measure deep learning processing speed, comparing training times using image data from the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012), a contest of image recognition accuracy.

Based on the technology Fujitsu Laboratories has cultivated over its HPC development, the company has now developed a technology to expand computation volume per GPU without compromising training accuracy. Highly-efficient distributed parallel processing can be provided by appropriately adjusting the learning rate in accordance to the degree of the deep learning training progress. When this newly developed technology was applied to open source deep learning software using 2,048 GPUs in the ABCI system and measured for this benchmark,

Fujitsu Laboratories confirmed that it beats the previous speed record by more than 30 seconds(2), completing the training in 74.7 seconds, the world’s highest speed(2). Fujitsu Laboratories will endeavor to further increase the speed of deep learning, aiming to implement practical applications of this newly developed technology for Fujitsu’s servers and supercomputers.

(1) ResNet-50 A high performance image recognition deep neural network developed by Microsoft. Laboratories’ investigation.
(2) Beat the previous speed record by more than 30 seconds, completing the training in 74.7 seconds, the world’s highest speed as of March 26, 2019, as confirmed by Fujitsu

About Fujitsu Laboratories

Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Ltd. is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices and Advanced Materials. For more information, please see: http://www.fujitsu.com/jp/group/labs/en/.

About Fujitsu Ltd

Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 140,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.1 trillion yen (US $39 billion) for the fiscal year ended March 31, 2018.

Leave a Reply

featured blogs
May 6, 2026
Hollywood has struck gold with The Lord of the Rings and Dune'”so which sci-fi and fantasy books should filmmakers tackle next?...

featured paper

Want early design analysis without simulation?

Sponsored by Siemens Digital Industries Software

Traditional verification methods are failing today's complex IC designs, which require a proactive, early-stage analysis approach. A shift-left methodology addresses IP block integration challenges and the limitations of traditional simulation and ERC tools. Insight Analyzer detects hard-to-find leakage issues across power domains, enabling early analysis without full simulation. Identify inefficiencies earlier to reduce rework, improve reliability, and enhance power performance.

Click to read more!

featured chalk talk

GaN for Humanoid Robots
Sponsored by Mouser Electronics and Infineon
In this episode of Chalk Talk, Eric Persson and Amelia Dalton explore why power is the key driver for efficient and reliable robot movements and how GaN technologies can help motor control solutions be more compact, integrated and efficient. They also investigate the role of field-oriented control in humanoid robotic applications and why the choice of a GaN power transistor can make all the difference in your next humanoid robot project!
Apr 20, 2026
18,753 views