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AWS Deep Learning AMIs VS Amazon Elastic Inference

Compare AWS Deep Learning AMIs VS Amazon Elastic Inference 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.

Amazon Elastic Inference logo Amazon Elastic Inference

Utilities, Application Utilities, and Machine Learning as a Service
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30
  • Amazon Elastic Inference Landing page
    Landing page //
    2023-05-23

AWS Deep Learning AMIs

Categories
  • Diagnostics Software
  • Development
  • Domains
  • Monitoring Tools
Website aws.amazon.com
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Amazon Elastic Inference

Categories
  • Diagnostics Software
  • Development
  • Domains
  • Monitoring Tools
Website aws.amazon.com
Edit details

AWS Deep Learning AMIs videos

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Amazon Elastic Inference videos

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Introduction to Amazon Elastic Inference

Category Popularity

0-100% (relative to AWS Deep Learning AMIs and Amazon Elastic Inference)

AWS Deep Learning AMIs

Amazon Elastic Inference

Development
54 54%
Development
46% 46
Diagnostics Software
52 52%
Diagnostics Software
48% 48
Domains
56 56%
Domains
44% 44
Monitoring Tools
50 50%
Monitoring Tools
50% 50

User comments

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Social recommendations and mentions

Based on our record, AWS Deep Learning AMIs should be more popular than Amazon Elastic Inference. 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: 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

Amazon Elastic Inference mentions (1)

  • Use AWS services from different region
    Elastic inference not ENI: https://aws.amazon.com/machine-learning/elastic-inference/. Source: almost 3 years ago

What are some alternatives?

When comparing AWS Deep Learning AMIs and Amazon Elastic Inference, 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.

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

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

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

Zing - The worry-freeinternational money app

Amazon Inferentia - Other IT Infrastructure

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