Deep learning researchers pushed the envelope at first by using 32-bit data and single precision floating point operations, which allowed them to cram twice as much data into the frame buffer memory ...

Amazon Elastic Inference will also be available for Amazon SageMaker notebook instances and endpoints, “bringing acceleration to built-in algorithms and to deep learning environments,” the ...

Home AI A Deep Learning Performance Lens for Low Precision Inference A Deep Learning Performance Lens for Low Precision Inference. June 28, 2017 Nicole Hemsoth Prickett AI 1. Few companies have ...

This high performance deep learning inference engine maximizes inference throughput and efficiency, and provides the ability to take advantage of fast reduced precision instructions provided in the ...

Deep-Learning Deployment Workflow. The deployment of a pre-trained neural network on an embedded system that will execute the algorithms is known as inference.

The Deep Learning Deployment Toolkit comprises two main components: the Model Optimizer and the Inference Engine (Figure 1). Figure 1: Model flow through the Deep Learning Deployment Toolkit ...

This condition is especially true in deep learning inference, which has become our focus for optimization. Under this influence, Alibaba Cloud unveils the new Arm server chip - Yitian 710, with the ...

When a company relies on a CPU to manage inference in deep learning models, no matter how powerful the DLA, the CPU will reach an optimum threshold and then start to buckle under the weight.