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AWS Support Proactive Services offers a tailored suite of resources designed to help businesses utilize AWS services more effectively. As part of this offering, this article will delve into cost optimization strategies for Amazon SageMaker training jobs, specifically focusing on the Downloading and Training phases.
Amazon SageMaker streamlines machine learning (ML) workflows by enabling asynchronous batch processes for ML model training and optimization. Its impressive features include built-in algorithms, support for multiple data sources and patterns, distributed training, and much more. When it comes to training jobs, costs are associated with instances, storage, and job duration.
To optimize costs, start by filtering SageMaker training costs using usage types in AWS Cost Explorer. This view will help identify optimization opportunities and effectively prioritize them.
Before diving into optimization strategies, consider these preliminary best practices: test your code locally, use pre-trained models when possible, and explore managed spot training options.
A typical SageMaker training job consists of the following phases: Starting, Downloading, Training, Uploading, and Completed. The Downloading, Training, and Uploading phases significantly impact cost, so it’s vital to optimize them efficiently.
The downloading phase can sometimes face delays or issues. Some strategies to optimize this phase include:
When selecting an instance type for the training phase, consider factors such as CPU, GPU, and memory requirements. Implement these strategies to optimize training:
Stay proactive in implementing these tips to unlock cost savings and elevate your ML workflows to the next level. Stay tuned for part 5 of this series, where we explore cost optimization strategies for hosting services.
Up until working with Casey, we had only had poor to mediocre experiences outsourcing work to agencies. Casey & the team at CJ&CO are the exception to the rule.
Communication was beyond great, his understanding of our vision was phenomenal, and instead of needing babysitting like the other agencies we worked with, he was not only completely dependable but also gave us sound suggestions on how to get better results, at the risk of us not needing him for the initial job we requested (absolute gem).
This has truly been the first time we worked with someone outside of our business that quickly grasped our vision, and that I could completely forget about and would still deliver above expectations.
I honestly can't wait to work in many more projects together!
Disclaimer
*The information this blog provides is for general informational purposes only and is not intended as financial or professional advice. The information may not reflect current developments and may be changed or updated without notice. Any opinions expressed on this blog are the author’s own and do not necessarily reflect the views of the author’s employer or any other organization. You should not act or rely on any information contained in this blog without first seeking the advice of a professional. No representation or warranty, express or implied, is made as to the accuracy or completeness of the information contained in this blog. The author and affiliated parties assume no liability for any errors or omissions.