Fujitsu Software to Accelerate Deep Learning Workloads

The company has developed software that will speed up machine learning tasks that are spread out over multiple GPU-powered systems. Engineers at Fujitsu Laboratories have developed new software that can speed up deep learning projects run over multiple GPUs.According to Fujitsu Labs officials, tests have found that the software used with 16 and 64 GPUs are 14.7 to 27 times faster than using a single GPU to run deep learning workloads, with increases in learning speeds 46 percent (on 16 GPUs) to 71 percent (on 64 GPUs). This is important given the increasing popularity of deep learning, a subset of machine learning, which is foundational to the development of artificial intelligence (AI).Machine learning essentially comprises two parts, training (where neural networks are taught object identification and other tasks) and inference…

Link to Full Article: Fujitsu Software to Accelerate Deep Learning Workloads

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!