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AWS Deep Learning AMIs VS Medidata CTMS

Compare AWS Deep Learning AMIs VS Medidata CTMS and see what are their differences

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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.

Medidata CTMS logo Medidata CTMS

Medidata CTMS seamlessly integrates with Medidata Rave to provide real-time views into study progress without manual tracking.
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30
  • Medidata CTMS Landing page
    Landing page //
    2023-01-30

Category Popularity

0-100% (relative to AWS Deep Learning AMIs and Medidata CTMS)

AWS Deep Learning AMIs

Medidata CTMS

Development
100 100%
Development
0% 0
Clinical Trial Management System
0 0%
Clinical Trial Management System
100% 100
Diagnostics Software
100 100%
Diagnostics Software
0% 0
Text Messaging
0 0%
Text Messaging
100% 100

User comments

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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.

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: about 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: about 3 years ago

Medidata CTMS mentions (0)

We have not tracked any mentions of Medidata CTMS yet. Tracking of Medidata CTMS recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Deep Learning AMIs and Medidata CTMS, 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.

Castor EDC - Castor offers you a user-friendly and fully featured application for electronic data collection.

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

OpenClinica - OpenClinica is an open source clinical trials software.

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

OnCore - OnCore Enterprise Research system supports efficient processes at academic medical centers, cancer centers, and health care systems.

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