Overview
What is Amazon Deep Learning AMIs?
AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2…
Amazon Deep Learning - A nifty service for all your deep learning needs!
Pricing
What is Amazon Deep Learning AMIs?
AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep…
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- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
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What is Amazon Deep Learning AMIs?
Amazon Deep Learning AMIs Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
(13)Reviews
(1-2 of 2)No need to fear from Cuda and Nvidia installation
- Setting up environment
- Support for different types of machines
- Perfect for Machine Learning / Deep Learning use cases
- Nvidia / Cuda / Conda support easily
- Simpler documentation of different types of AMIs
- Clearly listing out different types of machines as I got confused and spinned up an AMI in Amazon Linux machine instead of Ubuntu
- Support for latest version of libraries, to avoid manually updating them after launch
1. Best for quickly setting up an instance with pre-installed libraries.
2. Ideal for people in Deep Learning space who struggle with Cuda / Nvidia driver installations.
Not suitable:
1. People who want to install custom libraries or different version of those.
2. In these cases, updating the version of libraries many times leads to version mismatch which can cause many errors.
- Nvidia / Cuda drivers
- Conda environment
- Support for Ubuntu (multiple versions)
- Saves a lot of Infra Costs
- Saves a lot of time in handling environment issues
- Easy to start a new instance
- You can get several common packages including keras, pytorch and tensorflow setup within an environment ready to code on any AWS instance which saves time
- Great for virtual applications that helps communicate between various pieces of software
- Not need to worry about compatibility or any major aspects of setup e.g. GPU configuration
- Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
- It can be a bit confusing to switch between frameworks for novice users
If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.
- It has made our Data Science/ Machine Learning Courses easier to manage/ need less human input therefore allowing us to increase the cohort size for this degree
- It has unified a lot of technologies reducing the load on our IT team