Sold by: Galaxys Cloud
Deployed on AWS
AWS Free Tier
The Deep Learning AMI GPU PyTorch 2.0.1 Ubuntu 20.04 is a preconfigured AWS machine image optimized for deep learning projects. It includes PyTorch 2.0.1, CUDA, cuDNN, and pre-installed Conda environments, along with tools like Jupyter Notebook and Docker support. This AMI is designed to run on GPU-enabled EC2 instances, providing everything needed to develop, train, and deploy deep learning models without manual setup. Ideal for researchers, data scientists, and engineers who need a ready-to-use environment with full GPU acceleration and popular machine learning frameworks. This product wherein additional charges apply for support provided by Galaxys.
4.2
Overview
The Deep Learning AMI GPU PyTorch 2.0.1 Ubuntu 20.04 is a comprehensive, pre-configured machine image designed specifically for deep learning practitioners and researchers. This AMI comes with PyTorch 2.0.1 fully installed and optimized, along with CUDA toolkit, cuDNN libraries, and NVIDIA GPU drivers pre-configured for immediate use. The environment includes multiple Conda environments for different deep learning frameworks, Jupyter Notebook for interactive development, and Docker support for containerized deployments.
Based on Ubuntu 20.04, this AMI provides a stable and secure foundation for your machine learning workloads. It supports a wide range of GPU-enabled EC2 instances including p3, p4, g4dn, and g5 instances, allowing you to choose the right compute power for your specific needs whether you're doing model prototyping, training large neural networks, or running production inference workloads.
The AMI eliminates the time-consuming setup and configuration process typically associated with deep learning environments. All necessary dependencies, compilers, and system libraries are pre-installed and tested for compatibility. This includes optimized versions of Python, essential data science libraries like NumPy, Pandas, and Scikit-learn, as well as visualization tools and development utilities.
Security features include regular security updates, configured firewall rules, and integration with AWS IAM roles for secure access management. The image is maintained and updated to include the latest security patches while maintaining framework compatibility.
You can also deploy the following complementary products:
-
PyTorch 2.1 with CUDA 12.1 - Optimized Deep Learning AMI https://aws.amazon.com/marketplace/pp/prodview-nbndtjeqywg32
-
TensorFlow 2.15 with Keras 3.0 Deep Learning Stack https://aws.amazon.com/marketplace/pp/prodview-dnuw5pmugjrj6
-
Deep Learning Base GPU AMI On Ubuntu 24.04 with Tesla T4 https://aws.amazon.com/marketplace/pp/prodview-6qacpepfhww7w
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Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.13 https://aws.amazon.com/marketplace/pp/prodview-dd2v7zz5562zc
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Deep Learning OSS Nvidia Driver AMI GPU PyTorch 1.13.1 https://aws.amazon.com/marketplace/pp/prodview-52f2pzevpizue
Highlights
- Is configured with the NVIDIA CUDA 10.0 environment.
- Containerization platforms including Docker, and NVIDIA-Docker for build and run GPU accelerated Docker containers.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu Linux/Unix, 20.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.large Recommended | $0.10 |
t3.micro | $0.05 |
m6id.large | $0.10 |
r6i.16xlarge | $3.20 |
m6a.metal | $2.40 |
x2iezn.2xlarge | $0.40 |
m5.4xlarge | $0.80 |
m6id.8xlarge | $1.60 |
i3.2xlarge | $0.40 |
m6i.xlarge | $0.20 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
v2025
Additional details
Usage instructions
1.Start the instance 2.Use "ubuntu" as the username to SSH into the instance. 4.Remember to save the generated keypair when raising the instance for the first time 5.- to connect via ssh you can do it with the following command using putty or command terminal: ssh -i /path/your-key-pair-name.pem ubuntu@instance-public-dns-name
Our software does not store confidential customer information. Our software does not encrypt the data present in it. Our software does not use rotating programmatic system credentials or cryptographic keys.
For more information : Getting-started guide for AWS Deep Learning AMI: http://docs.aws.amazon.com/dlami/latest/devguide/gs.html
Support
Vendor support
Remote support seller@galaxys.cloud
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Deep Learning Framework
PyTorch 2.0.1 fully installed and optimized for deep learning model development and training
GPU Acceleration Support
CUDA toolkit, cuDNN libraries, and NVIDIA GPU drivers pre-configured with support for p3, p4, g4dn, and g5 EC2 instances
Containerization Platform
Docker and NVIDIA-Docker support for building and running GPU-accelerated containerized deployments
Pre-configured Development Environment
Multiple Conda environments, Jupyter Notebook, Python, NumPy, Pandas, Scikit-learn, and visualization tools pre-installed on Ubuntu 20.04
Security and Access Management
Regular security updates, configured firewall rules, and AWS IAM role integration for secure access management
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with TorchVision, NumPy, and other PyTorch-related packages for model development and inference
GPU Acceleration Support
NVIDIA drivers with CUDA and cuDNN optimization for GPU-accelerated computing on EC2 GPU instances including P4, P3, and G5
Operating System
Amazon Linux 2 base operating system providing lightweight, secure, and stable environment with AWS service compatibility
EC2 Instance Compatibility
Optimized support for GPU-based Amazon EC2 instance types including P4, P3, and G5 for large-scale training and deployment
Pre-configured Development Environment
Pre-configured with essential deep learning libraries and developer tools for immediate use without additional setup requirements
Deep Learning Framework Support
Includes TensorFlow 2.15 and PyTorch 2.2 for model training and experimentation
GPU Acceleration
Automatic GPU support with Nvidia CUDA 12.3 and CUDNN 8 on compatible instances (g3/g5), with CPU fallback capability
Jupyter Notebook Environment
Pre-configured Jupyter notebook server running on HTTPS port 8888 with instance ID-based authentication
Python Runtime and Dependencies
Python 3.11 with included libraries including Scikit Learn, Matplotlib, and Numpy
Rapid Development Setup
Pre-installed and configured environment enabling deep learning model development without additional setup steps
Standard contract
No
Customer reviews
Vishal kayande
Trusted platform has streamlined web deployments and empowered students to build projects
Reviewed on May 05, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amazon Linux is to deploy websites or applications directly using NGINX , and I also use a containerized platform like Docker on Amazon Linux as well as using Amazon Linux as an NFS server or client for my projects.
Recently, I deployed an event management platform for the institute using NGINX on Amazon Linux, which helped me take inputs from all the students of the institute and give it to the faculty in the form of CSV sheets and notifications, along with feedback forms. We even integrated an automatic certificate generation AI tool, and I found it much easier and better to deploy on Amazon Linux instead of Ubuntu or other operating systems, making it a nice experience as I have been using it for a very long time.
Currently, I am also using Amazon Linux as the server for several projects where I store databases, backends, and the frontend. Since I started using Amazon Linux, I always tell everyone to choose Amazon Linux as it is very much better than other operating systems and provides a proper guide for manual deployment.
What is most valuable?
Amazon Linux offers several features such as easy access, a proper command-line interface, and simple development and deployment capabilities, including all the features present in other operating systems but with better functionality.
The proper command-line interface in Amazon Linux helps me configure settings easily, and after comparing it to the command-line interface in RHEL and other operating systems, I find Amazon Linux to be absolutely better, making me very satisfied with its features.
When my students ask about which operating system to use, I always recommend Amazon Linux due to its easy access and additional features, positively impacting my institution and enabling my students to work efficiently.
After my institute's faculty and students started using Amazon Linux, their efficiency increased significantly, leading to improvements in their work.
What needs improvement?
Amazon Linux can be improved by adding more built-in features, allowing easy access to services directly when the operating system is obtained instead of requiring a manual installation.
For how long have I used the solution?
I have been working on Amazon Linux for the last one year, deploying many websites using Amazon Linux, and I like the file system, similar to RHEL . In fact, they are much better than other operating systems, which is why I prefer Amazon Linux above all others.
What do I think about the stability of the solution?
Amazon Linux is much more stable than all the other operating systems, particularly compared to Ubuntu , and is easy to access for my needs.
What do I think about the scalability of the solution?
The scalability of Amazon Linux is very significant compared to other operating systems. Since I continually use it, I recognize its advantages, such as the absence of imposed scalability limits by Amazon, and the compatibility of container scalability with Amazon ECS and Amazon EKS , along with performance optimizations and low latency for workloads.
How are customer service and support?
The customer support for Amazon Linux is very much improved. When I try to contact them, I always receive a fast and satisfying reply that resolves my issues.
Which solution did I use previously and why did I switch?
Before switching to Amazon Linux, I was continuously using Ubuntu as my operating system, but after being introduced to Amazon Linux, I became inspired and made the switch due to my agreement with its capabilities.
How was the initial setup?
I purchased Amazon Linux from the AWS Marketplace .
What was our ROI?
Recently, by deploying the event management platform, we saved money due to improved efficiency and required fewer employees for the project, highlighting the advantages of using Amazon Linux.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing for Amazon Linux are valid for the services provided. I find it fair because it is much better than other operating systems and offers more features, which makes me satisfied with what Amazon Linux provides.
Which other solutions did I evaluate?
I evaluated other options such as RHEL (Red Hat Enterprise Linux ), Ubuntu, and Fedora before choosing, but Amazon Linux proves to be far better than all of these.
What other advice do I have?
My advice for others considering Amazon Linux is to trust it, as it is a modern, cloud-optimized operating system that provides strong security, predictable updates, seamless cloud platform integrations, and is lightweight and tuned for high-performance applications, making it highly reliable.
Amazon Linux introduces significant improvements in security, update management, and AWS integration, making it a cloud-optimized operating system with features such as SELinux enforced by default, kernel live patching, deterministic upgrades, and flexible version locking, all enhancing its efficiency, scalability, and reliability.
If I were to express my thoughts about Amazon Linux, I would say: In the cloud it rises, light yet strong. A home for workloads all day long. Secure by default, updates in stride. Scaling with EC2 at AWS ' side. From kernel patches without a pause to SELinux enforcing every clause. Amazon Linux, tuned and free, the cloud-native heart of efficiency. I rate my experience with Amazon Linux a 9 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Rutuja Tamboli
Daily workflows have become portable and collaborative for containerized automation
Reviewed on Apr 24, 2026
Review provided by PeerSpot
What is our primary use case?
I have been using Amazon Linux from the day I started learning about AWS services, and we use Amazon Linux images most of the time.
I typically use Amazon Linux for containerizing things when we are developing something such as writing Docker files or running those commands. We use it most often for that purpose.
I was recently creating a bot which sends me emails whenever the pipeline fails or the pods are restarting, and I have used Amazon Linux in the containerized image of that.
What is most valuable?
In my opinion, the best features Amazon Linux offers are the scalability and the portability of platforms it provides, which are the most valuable features of Amazon Linux.
The scalability and portability of Amazon Linux have helped me because many times it happens that multiple people are working on the same project, and at that time we need to scale it. Thus, it was an easy task to scale it and to work with multiple teams. Regarding portability, we many times needed to shift it from one EC2 instance to another, making it easy as well.
Amazon Linux has positively impacted my organization by helping us to automate things on a large scale, so it was really helpful.
There were many things which we used with Amazon Linux, and it was really helpful, providing noticeable time savings and other measurable improvements after using it.
What needs improvement?
I think Amazon Linux can be improved by making things more easy to use and user-friendly, as the features are very inherited and in hierarchical dynamics. If you can make it simpler, it will be easy to use.
For how long have I used the solution?
I have been using Amazon Linux from the day I started learning about AWS services, and we use Amazon Linux images most of the time.
What do I think about the stability of the solution?
Amazon Linux is stable.
What do I think about the scalability of the solution?
The scalability of Amazon Linux is good. We can scale the system, so it is easy.
How are customer service and support?
The customer support for Amazon Linux is supportive, and they helped us understand the system and how it works.
What's my experience with pricing, setup cost, and licensing?
For pricing, my experience with Amazon Linux was that it was most like other services, such as how we use EC2 . The things were not difficult. It was easy to set up.
What other advice do I have?
I do not have anything else to add about my main use cases for Amazon Linux.
The reason I chose nine out of ten is that the hierarchies of features make it somewhat difficult to make people understand how we use it, which was my concern.
My advice to others looking into using Amazon Linux is that whichever companies are using cloud-native things like AWS services for their infrastructure for private or public cloud, they should use Amazon Linux as it provides many functionalities.
I found this interview good.
I would like for you to provide a short poem or haiku that will summarize my review.
My review rating for Amazon Linux is 9.5 out of 10.
Harshal Jethwa
Switching has delivered secure, up-to-date servers and has reduced hosting costs
Reviewed on Apr 20, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amazon Linux is hosting servers and applications.
What is most valuable?
The best features Amazon Linux offers include regular updates, regular patches, up-to-date software and tools, and security features.
The security features of Amazon Linux stand out for me because it provides vulnerability patches and tools and software patches. Because of that, our servers get the latest updates, which keeps them secure and provides access to the latest tools.
Amazon Linux has positively impacted my organization because we are able to host our applications, mainly Kubernetes applications, our servers, and testing environments, while also being able to get lower cost servers.
Since switching to Amazon Linux, I have noticed that we were previously using Windows Server , which was expensive. After switching to Linux, we are able to get a 30 to 40% savings.
What needs improvement?
Amazon Linux can be improved because currently it does not provide much longer session durations and sometimes it does not provide some of the tools I want to be included.
I chose 8 out of 10 because sometimes Amazon Linux does not provide a longer session and when we restart or refresh, all of the command history gets lost. Additionally, some of the tools I need are not present.
For how long have I used the solution?
I have been using Amazon Linux for six to seven months.
What do I think about the stability of the solution?
Amazon Linux is stable.
What do I think about the scalability of the solution?
Amazon Linux's scalability is good.
How are customer service and support?
I have not reached out to customer support yet, but I believe it will be good.
Which solution did I use previously and why did I switch?
Before Amazon Linux, we were using Windows, which was expensive for us due to its licensing fees. After switching to Linux, we are saving money.
What was our ROI?
I have seen a return on investment with Amazon Linux because I save both time and money.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing with Amazon Linux is that pricing is based on what we use and setup is easy. We do not need a license.
What other advice do I have?
I would advise others looking into using Amazon Linux that they can use it if they want to save money, want a low-cost solution, and want up-to-date patches. I gave this review a rating of 8 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Osvaldo Part
Using a flexible cloud OS has reduced licensing costs and has supported large-scale load testing
Reviewed on Apr 19, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amazon Linux is as load test injectors VMs. I use Amazon Linux as a load test injector VM by spinning up a number of instances in AWS using this or using auto-scaling. For our requirement, we required RHEL-based systems and servers, which is why we are using Amazon Linux.
For a load injector, we are using a number of servers, mainly 10 to 20 servers. If we were going for RHEL , it would require a 10-server subscription. However, we are using Amazon Linux, which is freeware and does not require any subscription. Additionally, it belongs to the RHEL family and is easily integrated with all the AWS services.
What is most valuable?
The best feature of Amazon Linux is that it can easily integrate with all the services in AWS. The easy integration with AWS services helps me in my day-to-day work because if we are choosing any RHEL or Ubuntu-based server in AWS, we are required to install a service manager on that server. However, if we are using Amazon Linux, it is not required to install that type of package on it.
Amazon Linux has impacted my organization positively because, as I mentioned, we are using it as a load injector, and for this, our client required an RHEL-based OS. If we are using RHEL machines or servers, it requires an RHEL subscription. However, for Amazon Linux, no subscription is required. It is freeware, so it is cost-effective for our organization.
What needs improvement?
I have not felt any lag or any performance issues on Amazon Linux, so it does not require any improvement from my perspective. I do not have anything I wish Amazon Linux would do differently or features I would like to see added in the future.
For how long have I used the solution?
I have been using Amazon Linux for around five plus years.
What do I think about the stability of the solution?
Amazon Linux is stable.
What do I think about the scalability of the solution?
Amazon Linux's scalability is good. I have used it in an auto-scaling group for some time, and it is more scalable and more flexible and reliable.
How are customer service and support?
The customer support is awesome because it belongs to AWS, and AWS customer support is excellent.
Which solution did I use previously and why did I switch?
I have not yet used a different solution.
How was the initial setup?
I did not purchase Amazon Linux through the AWS Marketplace .
What was our ROI?
I have seen a return on investment because it saves money. As I mentioned, if we required RHEL servers, it needs some subscriptions. However, for using Amazon Linux, it is freeware, and it saves us a lot of money.
Which other solutions did I evaluate?
Before choosing Amazon Linux, I did not evaluate any other options.
What other advice do I have?
I would add that it is freeware for RHEL machines and belongs to the RHEL family. I chose 8 out of 10 for my review rating because for the RHEL family, I am using Amazon Linux, but sometimes, if we are using OpenShift or something that requires an RHEL subscription, then we are required to have an RHEL subscription or RHEL OS. Apart from that, we can easily use Amazon Linux.
I would advise that if your company and if your client is required to have an RHEL-based OS on AWS, you must go for Amazon Linux because it easily integrates with all the services and belongs to AWS, and it is freeware for RHEL.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Abhishek-Verma
Performance monitoring has improved reliability and cuts costs in my daily cloud workload
Reviewed on Apr 19, 2026
Review from a verified AWS customer
What is our primary use case?
I use Amazon Linux in my day-to-day work as a performance test engineer to monitor performance-related issues. For my cloud environment, which is AWS , most of my servers are EC2 instances, so I identify CPU utilization, memory usage on EC2 instances, and services. I am using Performance Insight, AWS CloudWatch, and RDS .
What is most valuable?
The best features Amazon Linux offers in my experience are the security of all updates and its ease of use, particularly in terms of performance.
Amazon Linux has positively impacted my organization by reducing costs, improving reliability, and saving time by scanning all AWS services and basically integrating all the services.
What needs improvement?
I think Amazon Linux can be improved, but I have no specific suggestions.
For how long have I used the solution?
I have been using Amazon Linux for four years.
What do I think about the stability of the solution?
Amazon Linux is stable.
What do I think about the scalability of the solution?
The scalability of Amazon Linux is flexible, and I basically use it for multiple load balancers.
How are customer service and support?
The customer support for Amazon Linux is good.
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that the setup cost is freeware, which results in no cost setup, thereby saving money.
Which other solutions did I evaluate?
Before choosing Amazon Linux, I did not evaluate other options, as I am comfortable with my choice.
What other advice do I have?
My advice to others looking into using Amazon Linux is that if you require a RHEL-based OS, you must use it. I gave this product a rating of 9.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)