# AWS Deep Learning Containers Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [Other IT Infrastructure Software](https://www.g2.com/categories/other-it-infrastructure) **Average Rating:** 4.6/5.0 **Total Reviews:** 22 ## About AWS Deep Learning Containers AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning (ML) environments quickly by letting you skip the complicated process of building and optimizing your environments from scratch. ## AWS Deep Learning Containers Reviews ### 1. Best Service Provide by AWS Easily Deploy Container **Rating:** 5.0/5.0 stars **Reviewed by:** Jay Z. | DevOps Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2022 **What do you like best about AWS Deep Learning Containers?** The fullness of the service offers really useful images for configuring contexts related to machine knowledge. The structure is authentically well regular and easy to learn. addict interface and stoner peace there was a smooth proficiency with AWS Deep knowledge. Provides us with roustabout pictures pre-installed for deep knowledge architecture. **What do you dislike about AWS Deep Learning Containers?** I discovered no downsides whilst the use of the AWS Deep getting to know gadget. The carrier is quickly learned thanks to the easy and intuitive interface. A guide is also available to solve any difficulties. Nothing extra to be advanced, however, yes it could be progressed via supplying diverse OS assistance for Deep gaining knowledge of pics so that improvement can work greater easily **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The hard component With Deep learning Dockerization is that it's complex for Dependency manipulation and AWS managed It properly in form. It helped me plenty in locating the essential pix to load inside the machine learning environment. This allowed me to noticeably lessen the time spent on the usually constructed deep learning framework. ### 2. Best for easily deploying coustom ml environments **Rating:** 4.5/5.0 stars **Reviewed by:** Shubhangi M. | Content Writer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 06, 2022 **What do you like best about AWS Deep Learning Containers?** It is very easy to just skip through the difficult process of building and deploying the environment scratch and we can let easily deploy ML environments. It is better from others as we can just use it to have pre installed docker images. **What do you dislike about AWS Deep Learning Containers?** Nothing it is which is not likeable about the AWS deep learning container. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** It lets us skip the complicated part of developing and deploying the environment from scratch each time the requirements come up, we can use the pre installed docker images, create templates and containers , in just few click we are ready to launch a new ML environment when need comes up. ### 3. Prebuilt Docker containers with DL full framework **Rating:** 5.0/5.0 stars **Reviewed by:** Aman M. | DevOps Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 03, 2022 **What do you like best about AWS Deep Learning Containers?** We are working on an ML-based project and want to deploy that project in the docker container so we have used aws deep learning docker images so it can help us in many ways : - less configuration is required to go live in minutes. - easy to use images for your machine learning application. **What do you dislike about AWS Deep Learning Containers?** All the features mentioned are well developed and as per the documentation nothing to dislike - as this is managed service so there's a bit of a learning curve required by developers. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** As we don't have to manage and create the docker images we use this in order to train our model in a faster way and achieve the accuracy also it can improve the speed of application to go live ### 4. AWS Deep Learning Containers Review **Rating:** 4.0/5.0 stars **Reviewed by:** Yogita K. | Accounting Technician, and internal consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** September 15, 2022 **What do you like best about AWS Deep Learning Containers?** This AWS Deep learning containers structure is very easy to learn. Smooth proficiency with deep knowledge. Not much of the configuration is required to go live on the go. Images can be easily used. The machine learning operation made easy with AWS deep learning containers. **What do you dislike about AWS Deep Learning Containers?** There is the only problem that i think needs to be corrected is the troubleshooting problem of error. Otherwise, all is good and smooth with these AWS deep learning containers. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The manual Image creation was a problem that is being solved because of this AWS deep learning we can do it in more smooth and fast manner. ### 5. My Experience about AWS Deep Learning Containers **Rating:** 4.5/5.0 stars **Reviewed by:** Ruchit K. | Web Development Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** August 02, 2022 **What do you like best about AWS Deep Learning Containers?** AWS Deep Learning Containers made ML operations pretty fast and smooth, Installing and setup of docker has became pretty easy because now we have pre-built frameworkes. we don't have to make container from scratch. **What do you dislike about AWS Deep Learning Containers?** It's the UI, for me, I Don't like the user interface which provides by amazon with aws. it is hard to understand. but other than that it is an industry-leading solution for the thing. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The Hard Part With DL Dockerization is that it is Complicated but, aws helping me and my team to deploy our machine learning dockers easily for larger projects also It has made our lives easy and helped the company a lot. ### 6. About AWS Deep learning **Rating:** 4.0/5.0 stars **Reviewed by:** Jevik L. | Engineering Trainee, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2022 **What do you like best about AWS Deep Learning Containers?** The best things are they mostly useful for developer the technology used are python and that is based on OOP so I like most the AWS deep learning. **What do you dislike about AWS Deep Learning Containers?** As per me some of the Feature they still need to add in AWS deep learning means some helpful things that help to poor people and all. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** As per me some of the good things are using badly like some who don't want home the find her/his home using that AWS so if it is came into bad people it's bad and if it is came into good people it's good. ### 7. Working with AWS DLC significantly accelerates the ML deployment. **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammad Yahya A. | Full Stack Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2022 **What do you like best about AWS Deep Learning Containers?** Frequently updating trained images for different frameworks reduced ML time to production. **What do you dislike about AWS Deep Learning Containers?** Customizing an AWS DLC still takes time to rebuild. The UI need to be improved. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The ML Container idea solved many issues in ML deployment: 1) ML model portability 2) ML deployment speed 3) reduced ML production time ### 8. There was a good experience about AWS Deep Learning. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** July 27, 2022 **What do you like best about AWS Deep Learning Containers?** User interface and user compatibility there was the smooth experience with AWS Deep learning. **What do you dislike about AWS Deep Learning Containers?** Support was average and response was late and technology limitations. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** With the help of AWS Deep learning, I can learn and store large data sets and scale up quickly with a lower cost of GPU. ### 9. Machine learning Heaven by AWS **Rating:** 4.5/5.0 stars **Reviewed by:** Akash V. | Digital Marketing Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** July 14, 2022 **What do you like best about AWS Deep Learning Containers?** Aws made machine learning operations pretty smooth, Installing docker has became pretty easy as now we don't need to make containers with scratch and just go with pre built frameworks ones. **What do you dislike about AWS Deep Learning Containers?** It's the interface, I personally Dont like the interface amazon provide with aws and make the user experiance slightly tougher. Otherwise its a pretty solid industry leader solution for the thing. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** It's helping my team deploy my machine learning dockers pretty easily for the company projects. It has made our lives pretty easier and helped the company alot. ### 10. Amazing service for Deep Machine Learning. **Rating:** 4.5/5.0 stars **Reviewed by:** Priyanka V. | Operations Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** August 09, 2022 **What do you like best about AWS Deep Learning Containers?** This service by AWS made the operations pretty smooth in our machine learning applications. The ease of use and the pre built containers are a big help in our ongoing projects. **What do you dislike about AWS Deep Learning Containers?** The service is pretty sleep but the interface could be slightly user-friendlier. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The team is happy with the ability of the AWS deep learning container service to perform the tasks in the project, and the prebuilt library they provide. speeding up the process. ### 11. About Deep learning review. **Rating:** 5.0/5.0 stars **Reviewed by:** Brij L. | Project Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 06, 2022 **What do you like best about AWS Deep Learning Containers?** As per me in AWS deep learning have some algorithms like RNN, CSS, LSTM and all these technology are good for me. **What do you dislike about AWS Deep Learning Containers?** AWS deel learning have some troubleshooting problems like setup error usage error and cleanup errros. So some one need to fix that as soon as possible. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** Sometimes its challenge to solve auto encoders error and they need massive dataset of training. So every one will understand better AWS deep learning. ### 12. Smooth and Fully Optimised DL Framework **Rating:** 5.0/5.0 stars **Reviewed by:** Ravi K. | DevOps Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 14, 2022 **What do you like best about AWS Deep Learning Containers?** I Used To Install and Setup My Machine Learning Project On to the DL Docker. it gives Me Really Smooth Experience and More than That It Consumes Less Time and Memories then Manual One **What do you dislike about AWS Deep Learning Containers?** Nothing more to Improve, But yes If It Support More Operating Systems and with Less memory Consumption then It's More than Improvement. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** Before Using Deep Learning I Use to have manual Image creation Which Giving Lots Of Build Issues, But with AWS DL it's Now Fast Forwarded ### 13. Easy to use and Lightweight DL Containers **Rating:** 4.5/5.0 stars **Reviewed by:** Ravi K. | Devops Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 27, 2022 **What do you like best about AWS Deep Learning Containers?** AWS DL Containers Made it easy to Setup Deep Learning Images, With AWS DL Containers It Provides Very Lightweight and High End Improved images. **What do you dislike about AWS Deep Learning Containers?** Nothing more to be improved, But Yes It Can be Improved by Providing Various OS Support for Deep Learning Images, So that Development can work More Smoothly **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The Hard Part With Deep Learning Dockerization is that it's Complicated for Dependency Management and AWS Managed It Well in form. ### 14. The usage is quite logical and output is reasonable **Rating:** 4.0/5.0 stars **Reviewed by:** Hisham K. | Data scientist, Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2022 **What do you like best about AWS Deep Learning Containers?** In deep learning most time constraints are there so saving time with investing much time is good approach **What do you dislike about AWS Deep Learning Containers?** As long as hanging in loop need to relook **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** Mostly NLP ### 15. Incredible tool for Deep Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 15, 2022 **What do you like best about AWS Deep Learning Containers?** The AWS Deep Learning Containers system is really very effective and the proposed images are always well structured and definitely useful for configuration in machine learning environments. **What do you dislike about AWS Deep Learning Containers?** The interface could be improved, as well as the user experience so that it makes everything more immediate and easy to consult, without getting lost in the various settings and configurations provided by the system. Overall, once I learn how to use containers, I find it all very effective. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** It certainly helped me a lot in finding the necessary images to load in the machine learning environment. This allowed me to significantly reduce the time spent on the usually built deep learning framework. ### 16. Best service to Machine Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 07, 2022 **What do you like best about AWS Deep Learning Containers?** It's already in the AWS cloud and really easy to integrate and use **What do you dislike about AWS Deep Learning Containers?** It could be a bit more clear how it has been charged **Recommendations to others considering AWS Deep Learning Containers:** I would recommend AWS Deep Learning Containers mainly for those who are using AWS as cloud **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** We are using it in order to create and train some models to forecast occupancy for our customers ### 17. Deep learning containers review **Rating:** 5.0/5.0 stars **Reviewed by:** Jayanth G. | Associate Vice President, Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2022 **What do you like best about AWS Deep Learning Containers?** Easy to connect and work. Less configuration required to get things working **What do you dislike about AWS Deep Learning Containers?** Not so easy for practitioners. Needs a strong knowledge base **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** We have hig data banks on loan credit checks that require some deep learning logic to be executed ### 18. Exquisite **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** July 13, 2022 **What do you like best about AWS Deep Learning Containers?** Very good environment with tensorflow and mxnet which is helped me a lot. **What do you dislike about AWS Deep Learning Containers?** Ahh no i don't have any dislikes about the same in my mind as of now i will let you know if i will found any **Recommendations to others considering AWS Deep Learning Containers:** I will say go for it and help them to get introduced with this lovely platform **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** This is ensuring reliable quick and i think most consistent deployments and actually it helped me a lot i mean i cannot describe here ### 19. Very powerful tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 24, 2022 **What do you like best about AWS Deep Learning Containers?** The completeness of the service that offers very useful images for configuring environments related to machine learning. The structure is very well organized and easy to learn. **What do you dislike about AWS Deep Learning Containers?** I found no downsides while using the AWS Deep Learning system. The service is easily learned thanks to the simple and intuitive interface. Support is also available to resolve any difficulties. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** The use of AWS Deep Learning Containers images designed to be used in a machine learning environment have in fact significantly reduced the workload and increased my productivity. ### 20. Deploy easily with AWS deep learning containers **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** July 13, 2022 **What do you like best about AWS Deep Learning Containers?** Provides us with docker images pre-installed for deep learning framework. **What do you dislike about AWS Deep Learning Containers?** I found no downside while using this feature. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** Makes deployment very easy. ### 21. Great tool to process Natural language **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** September 23, 2021 **What do you like best about AWS Deep Learning Containers?** Speed and Scalability are the two main things I love about this plus it's highly effective in processing natual language. **What do you dislike about AWS Deep Learning Containers?** There's nothing to dislike as of now. All the features are well developed. **Recommendations to others considering AWS Deep Learning Containers:** I found it way faster and well managed compared to GCP **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** Natural language processing, where simple texts we use in everyday conversations are filtered and can make meaningful data. ### 22. AWS Deep Learning Containers - Scalable Docker Containers **Rating:** 3.5/5.0 stars **Reviewed by:** kamleshh h. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** September 06, 2019 **What do you like best about AWS Deep Learning Containers?** AWS Sagemaker is the best cloud service for all the Machine Learnng tasks and with the scalability of docker images, it is easy to deploy python or ML environments in containterized solutions. Also it has pre-installed environments which are needed for development and deployment purposes. **What do you dislike about AWS Deep Learning Containers?** It is quite complicated to define own algorithms as it needs complete understanding of AWS Deep learning container working. **Recommendations to others considering AWS Deep Learning Containers:** Docker knowledge is important to manage the Deep learning containers. **What problems is AWS Deep Learning Containers solving and how is that benefiting you?** We use Docker with AWS ECR for deployment and train Machine Learning Model in AWS Sagemaker notebooks with AWS Deep Learning Containers. ## AWS Deep Learning Containers Discussions - [What are some of the main tasks of a container management platform AWS?](https://www.g2.com/discussions/what-are-some-of-the-main-tasks-of-a-container-management-platform-aws) - [What are deep learning containers?](https://www.g2.com/discussions/what-are-deep-learning-containers) - [What is the functionality of AWS containers?](https://www.g2.com/discussions/what-is-the-functionality-of-aws-containers) - [View AWS Deep Learning Containers pricing details and edition comparison](https://www.g2.com/products/aws-deep-learning-containers/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-31+17%3A29%3A59+-0500&secure%5Bsession_id%5D=261c481f-2ac3-4e49-a483-20d9d0157621&secure%5Btoken%5D=beee7b9972a696e5f48c9ce108e1bea5a30bfa17c162e5d1c9f44213b6c3a8c9&format=llm_user) ## Top AWS Deep Learning Containers Alternatives - [pgAdmin](https://www.g2.com/products/pgadmin/reviews) - 4.1/5.0 (70 reviews) - [Firstbase](https://www.g2.com/products/firstbase-firstbase/reviews) - 4.8/5.0 (50 reviews) - [IBM Cloud Bare Metal Servers](https://www.g2.com/products/ibm-cloud-bare-metal-servers/reviews) - 4.0/5.0 (28 reviews)