AWS Deep Learning AMIs vs. AWS Deep Learning Containers vs. Instainer vs. Python Comparison Chart

AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.

Instainer is a Docker container hosting service which allows run instantly any Docker container on the cloud with Heroku-style Git deployment. When we started migration to Docker in our company, we felt that something was still missing. Docker brought amazing capabilities to our DevOps team, but still there wasn't any service to click and run any Docker containers instantly. We developed Instainer for engineers who want to run Docker containers on the cloud instantly. Your feedbacks & thoughts are really welcome. Instainer provides Heroku-style Git deployment for your containers. After running your container; Instainer automatically creates Git repository for you and pushes your container’s data into this repository. You can easily clone and change your data using Git. The WordPress rich content management system can utilize plugins, widgets, and themes.