Step 6: Advanced Machine Learning Workload Acceleration with AWS Inferentia and AWS Neuron
第 6 步：使用 AWS Inferentia 和 AWS Neuron 实现高级机器学习工作负载加速
GPUs are designed for general purpose tasks, and therefore aren’t always the most cost effective technique for accelerating your machine learning tasks. In this pattern, learn how to setup AWS Inferentia hardware, and use the AWS Deep Learning Container to run an AWS Neuron powered environment that makes use of purpose-built hardware that accelerates model training and inference, at a cost/performance ratio that beats GPU in many cases.
GPU 专为通用任务而设计，因此并不一定是加速机器学习任务最具成本效益的技术。在此模式中，了解如何设置 AWS Inferentia 硬件，并使用 AWS Deep Learning Container 运行 AWS Neuron 支持的环境，该环境利用专用硬件来加速模型训练和推理，其成本/性能比在许多情况下都优于 GPU。