Software Alternatives, Accelerators & Startups

OnCore VS AWS Deep Learning AMIs

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

OnCore logo OnCore

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

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.
  • OnCore Landing page
    Landing page //
    2023-03-26
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30

OnCore videos

OnCore ELIXR - Guerrilla Golf Ball Testing vs Pro-V1

More videos:

  • Review - Best Golf Ball - OnCore Review - Wendell CC - Golf Test Dummy
  • Review - ONCORE ELIXR: Golf Ball Review

AWS Deep Learning AMIs videos

No AWS Deep Learning AMIs videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OnCore and AWS Deep Learning AMIs)
Clinical Trial Management System
Development
0 0%
100% 100
Text Messaging
100 100%
0% 0
Diagnostics Software
0 0%
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.

OnCore mentions (0)

We have not tracked any mentions of OnCore yet. Tracking of OnCore 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: 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

What are some alternatives?

When comparing OnCore and AWS Deep Learning AMIs, you can also consider the following products

OpenClinica - OpenClinica is an open source clinical trials software.

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.

Medidata CTMS - Medidata CTMS seamlessly integrates with Medidata Rave to provide real-time views into study progress without manual tracking.

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