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Vendor-agnostic Setup for Running ML & DL Experiments with GPU Support
June 15, 2022, 3:44 p.m. | Smiral Rashinkar
Towards AI - Medium pub.towardsai.net
Vendor-agnostic Setup for Running ML & DL Experiments With GPU Support
Photo by Tom Winckels on UnsplashWith many emerging solutions like AWS Sagemaker, Microsoft Azure Machine Learning Studio, Google Cloud AI Platform, etc, It can be overwhelming to choose a solution given the cost constraint and use case.
There are some pros and cons when it comes to using a cloud vendor solution:
Pros:
- A tightly integrated platform for data access, IAM, training, testing, and deploying ML & …
deep learning dl docker gpu machine learning ml ml-engineering mlops setup support vendor
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