At the Baidu Create AI developer conference in Beijing, Intel announced that Baidu is collaborating with Intel on the development of the new Intel® Nervana™ Neural Network Processor for Training (NNP-T). The collaboration involves the hardware and software designs of the new custom accelerator with one purpose – training deep learning models at lightning speed.
´The next few years will see an explosion in the complexity of AI models and the need for massive deep learning compute at scale. Intel and Baidu are focusing their decade-long collaboration on building radical new hardware, co-designed with enabling software, that will evolve with this new reality – something we call ‘AI 2.0'.´ says Naveen Rao, Intel corporate vice president and general manager of the AI Products Group.
Artificial intelligence (AI) isn’t a single workload; it’s a pervasive capability that will enhance every application, whether it’s running on a phone or in a massive data center. Phones, data centers and everything in between have different performance and power requirements, so one-size AI hardware doesn’t fit all. Intel offers choice in AI hardware with enabling software, so customers can run complex AI applications where the data lives. The NNP-T is a new class of efficient deep learning system hardware designed to accelerate distributed training at scale. Close collaboration with Baidu helps ensure Intel development stays in lock-step with the latest customer demands on training hardware.
Since 2016, Intel has been optimizing Baidu’s PaddlePaddle deep learning framework for Intel® Xeon® Scalable processors. Now, the companies give data scientists more hardware choice by optimizing the NNP-T for PaddlePaddle.
More information at www.intel.com