Fujitsu Laboratories has developed a circuit technology that is said to improve the energy efficiency of deep learning workloads. According to the company, it plans to commercialize the technology in 2018 as part of its Human Centric AI Zinrai initiative.
Although Google’s Tensor Processing Unit (TPU) has been powering the company’s vast empire of deep learning products since 2015, very little was known about the custom-built processor. This week the web giant published a description of the chip and explained why it’s an order of magnitude faster and more energy-efficient than the CPUs and GPUs it replaces.
Cray is going to build what will looks to be the world’s first ARM-based supercomputer. The system, known as “Isambard,” will be the basis of a new UK-based HPC service that will offer the machine as a platform to support scientific research and to evaluate ARM technologies for high performance computing. Installation of Isambard is scheduled to begin in March and be up and running before the end of the year.
The new Green500 list of the most energy-efficient supercomputers demonstrates some significant progress from last year. Thanks to the new manycore processors from Intel and NVIDIA that are starting to penetrate the top systems, performance per watt numbers are on the rise.