Gaudi Architecture and Software Overview¶
Demand for high-performance Deep Learning (DL) training compute is accelerating with the growing number of applications and services based on image and gesture recognition in videos, speech recognition, natural language processing, recommendation systems and more. With this increased demand comes the need for greater training speed, throughput and capacity, which translate into the growing need for efficient scaling of training systems. The Habana® Gaudi® processor is designed to maximize training throughput and efficiency, while providing developers with optimized software and tools that scale to many workloads and systems. Habana Gaudi software was developed with the end-user in mind, providing versatility and ease of programming to address the unique needs of users’ proprietary models, while allowing for a simple and seamless transition of their existing models over to Gaudi.
For new features and enhancements, refer to the Release Notes.