Machine Learning - eBook (EN)

Q&A: Choosing the right compute infrastructure for machine learning

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13 Organizations have found new ways to leverage ML for recommendation engines, object detection, voice assistants, fraud detection, and more. Although the use of ML is gaining traction, training and deploying ML models can be expensive, model development can be time-consuming, and procuring the right amount of infrastructure to meet changing business conditions poses an ongoing challenge. AWS ML software and infrastructure services accelerate your ML projects by offering high-performing, cost-effective, and highly flexible infrastructure— along with easy ways to use this hardware through fully managed services. Discover why more than 100,000 customers choose AWS to accelerate their ML journeys. With the broadest and deepest set of ML services and supporting cloud infrastructure, the possibilities you can unlock with AWS machine learning are virtually endless. Start exploring them today. 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Find the right infrastructure for your machine learning needs Get started ›

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