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Amazon Simple Workflow Service (SWF) VS AWS Deep Learning AMIs

Compare Amazon Simple Workflow Service (SWF) VS AWS Deep Learning AMIs and see what are their differences

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Amazon Simple Workflow Service (SWF) logo Amazon Simple Workflow Service (SWF)

Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

AWS Deep Learning AMIs logo AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
  • Amazon Simple Workflow Service (SWF) Landing page
    Landing page //
    2023-04-14
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30

Category Popularity

0-100% (relative to Amazon Simple Workflow Service (SWF) and AWS Deep Learning AMIs)

Amazon Simple Workflow Service (SWF)

AWS Deep Learning AMIs

Diagnostics Software
46 46%
Diagnostics Software
54% 54
Development
45 45%
Development
55% 55
Domains
50 50%
Domains
50% 50
Monitoring Tools
38 38%
Monitoring Tools
62% 62

User comments

Share your experience with using Amazon Simple Workflow Service (SWF) and AWS Deep Learning AMIs. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS Deep Learning AMIs seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Simple Workflow Service (SWF) mentions (0)

We have not tracked any mentions of Amazon Simple Workflow Service (SWF) yet. Tracking of Amazon Simple Workflow Service (SWF) recommendations started around Mar 2021.

AWS Deep Learning AMIs mentions (3)

  • Machine Learning Best Practices for Public Sector Organizations
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
  • Unable to host a Flask App consisting of an Image Classification Model coded in Pytorch to a free tier EC2 instance. The issue occurs at requirements installation i.e The torch v1.8.1 installation gets stuck at 94%.
    Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
  • Is Sagemaker supposed to replace Keras or PyTorch? Or Tensorflow?
    Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago

What are some alternatives?

When comparing Amazon Simple Workflow Service (SWF) and AWS Deep Learning AMIs, you can also consider the following products

AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service

MxToolBox - All of your MX record, DNS, blacklist and SMTP diagnostics in one integrated tool.

Zing - The worry-freeinternational money app

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