Sold by: Galaxys CloudÂ
Deployed on AWS
AWS Free Tier
This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys. AWS Deep Learning Base AMI (Amazon Linux) with Support by Galaxys Cloud comes with a foundational platform of GPU drivers and acceleration libraries to implement your own custom deep learning environment.You will have your choice of CUDA versions.
Overview
This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys. AWS Deep Learning Base AMI (Amazon Linux) with Support by Galaxys Cloud comes with a foundational platform of GPU drivers and acceleration libraries to implement your own custom deep learning environment.You will have your choice of CUDA versions. It allows you to develop your own environment with the latest installed NVIDIA software so you can focus on choosing which frameworks and versions to install.
Galaxys Cloud is a fast growing company self-financed profitable and distributed worldwide that maintain our focus on being leaders in packaging applications and offering them to our clients on various cloud platforms. From our roots in creating Windows and Linux installers for thousands of ISVs at Bitrock to helping users deploy over 1 million applications per month as the premier supplier of ready-to-run virtual machines and cloud images to the world's leading cloud providers.
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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Categories
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.
Dimension | Cost/hour |
|---|---|
t2.large Recommended | $0.10 |
t3.micro AWS Free Tier | $0.05 |
m6a.32xlarge | $3.20 |
g2.8xlarge | $1.60 |
r5a.16xlarge | $3.20 |
m5a.xlarge | $0.20 |
c6in.32xlarge | $3.20 |
r6a.48xlarge | $6.40 |
z1d.6xlarge | $0.80 |
t3.small | $0.05 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
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
v2023
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.htmlÂ
Support
Vendor support
Remote support seller@galaxys.cloudÂ
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
AI generated from product descriptions
GPU Acceleration
Configured with NVIDIA CUDA environment for deep learning GPU acceleration
Containerization Support
Includes Docker and NVIDIA-Docker platforms for building and running GPU-accelerated containers
Software Development Platform
Foundational platform with GPU drivers and acceleration libraries for custom deep learning implementations
Machine Learning Framework Support
Provides foundational platform for deep learning with support for multiple machine learning frameworks and tools
GPU Acceleration Infrastructure
Includes NVIDIA CUDA, cuDNN, NCCL, and GPU drivers for high-performance GPU computing
Containerization Support
Integrates Docker and NVIDIA-Docker for building and running GPU-accelerated containers
Performance Libraries
Includes Intel MKL-DNN for optimized machine learning and deep learning performance
Advanced Networking Capabilities
Supports AWS Elastic Fabric Adapter (EFA) and AWS Neuron for enhanced computational networking
GPU Acceleration
Includes NVIDIA drivers, CUDA, and cuDNN for high-performance GPU-based deep learning computations
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with support for advanced machine learning model development
Operating System
Built on Amazon Linux 2, providing a lightweight and secure cloud-optimized environment
Machine Learning Libraries
Pre-configured with essential libraries including TorchVision, NumPy, and PyTorch-related packages
Cloud Instance Compatibility
Supports multiple GPU-based EC2 instances for scalable AI training and inference tasks
Standard contract
Customer reviews
Amudhan Pandian
Running containers effectively for many years with excellent security features and pre-installed tools
Reviewed on Jun 27, 2025
Review from a verified AWS customer
What is our primary use case?
My use case for Amazon Linux is mostly for running containers.
I am using SELinux for enhanced security in Amazon Linux , and it is helpful for me.
What is most valuable?
I find that the functions or features of Amazon Linux that are most valuable are ones that I haven't specifically mentioned.
The main benefits I receive from Amazon Linux are saving time and streamlining some work processes.
I use Python, as Amazon Linux includes some pre-installed libraries and tools such as Python, Ruby, and Node.js.
What needs improvement?
In my opinion, for improvement, Amazon Linux could make better integration with third-party vendors, perhaps enhance user experience or lower the price compared to other Linux solutions.
For the future, it would be great to see Amazon Linux have more wide functionality to work with other systems.
For how long have I used the solution?
I have been working with Amazon Linux for eight years.
What do I think about the stability of the solution?
I rate the stability of Amazon Linux as a nine.
What do I think about the scalability of the solution?
I understand the scalability aspects and I think they are adequate.
How are customer service and support?
I would rate the technical support from Amazon Linux as good enough.
I believe the response time and quality of support could be better, so I see quality as a single point of feedback.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I work with both Amazon Linux and Ubuntu because Ubuntu provides more wide functionalities than Amazon Linux.
How was the initial setup?
The initial setup for Amazon Linux is straightforward, and I understand it well.
Which other solutions did I evaluate?
Regarding the pricing model of Amazon Linux, I think it could be more flexible or a bit cheaper for users, as I find Ubuntu is cheaper than Amazon Linux.
What other advice do I have?
I am not using IPv6 and I'm okay with that.
On a scale of one to ten, I rate Amazon Linux an eight.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Henry Rivera
Reliable documentation and support streamline deployment and troubleshooting
Reviewed on Jun 17, 2025
Review from a verified AWS customer
What is our primary use case?
The main use case for Amazon Linux is hosting websites.
This is for overall company operations.
What is most valuable?
The best features with Amazon Linux include the integration with AWS and other services.
It is an operating system that AWSÂ manages, and I feel I can trust it regarding the updates without interfering with or interrupting services.
The performance of Amazon Linux with AWS services is perfectly fine. I use it and change the instance type to give it more resources at times, and for the sandbox, I give it less, and it satisfies what we want.
Amazon Linux reduces the time it would take for setup or deployment because I rely on the documentation for AWS since it's streamlined, and the commands I need to run are easily accessible whenever I need to look up anything.
We've used the application load balancers with Amazon Linux, and that's the main one I can think of regarding advanced networking capabilities.
That feature has definitely helped us enhance the scalability and reliability of our cloud applications by easing administration, as the application load balancer is managed by AWS and ties in with Amazon Certificate Manager, ensuring I do not have to concern myself with scalability and any updates.
The main positive impact of Amazon Linux on my company has been no interruptions of services.
The public website is up and running, which allows us to monetize with virtually no staff hours for downtime or service interruptions.
What needs improvement?
I cannot say honestly how these features have contributed to my system security and package management processes.
I try to keep the services and what I use on Amazon Linux very limited to support overall configurations.
I would love it if Amazon could provide fleet management of their operating system for updates and configuration, as that's an area I would need more attention to.
For how long have I used the solution?
I have dealt with the Amazon Linux product for 10 years.
How are customer service and support?
I would rate customer service or technical support from Amazon a 10.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I switched to Amazon Linux primarily because I was running my operating systems within AWS, knowing that Amazon would support it and all the documentation was up-to-date.
We were using CentOSÂ before switching to Amazon Linux.
Mainly, we used CentOSÂ , which was managed by Red Hat or IBM. Once they changed their upgrade path, it became unviable, so we went with Amazon Linux, which made the most sense in AWS.
How was the initial setup?
My experience with the pricing, setup costs, and licensing of Amazon Linux is straightforward and simple.
What was our ROI?
I have seen a return on investment with Amazon Linux.
What other advice do I have?
I have experience with RDSÂ with AWS.
I have experience with Amazon Linux and other Amazon products.
I have mentioned relevant data points about ease of use and the trust that Amazon provides, as I don't have to concern myself with other Linux distributions.
I realized those benefits during the actual deployment.
On a scale of 1-10, I rate Amazon Linux a 10.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Martin Mato
Extensive support experience and seamless deployment enable efficient troubleshooting
Reviewed on Jun 05, 2025
Review from a verified AWS customer
What is our primary use case?
I work with Kubernetes tools. My job is L3 support and I troubleshoot Red Hat-based systems and Kubernetes . Those are my two areas and that is all I do. When a client's system breaks down, it is my job to fix it as much as possible.
In the last 12 months, I have been troubleshooting systems and training in Kubernetes.
I deploy applications atop it. I mostly use it as a server for various DevOps concerns. For example, I have a Kubernetes server running on Red Hat Enterprise Linux and Ansible server running on Red Hat Enterprise Linux . It is a DevOps pipeline that is fed by these separate servers.
I just duplicate installations of my clients' machines in order to troubleshoot. The idea is that I am presented with a problem, a broken system. If I can clone it, I do and then I try to fix it locally on my own machine before I present the solution back to the client. It varies slightly, depending on what the clients are using it for. In my very last case, about 2 or 3 weeks ago, there were etcd clusters running on an Ubuntu machine managing a Patroni installation. I tried to set that up on my own systems and started troubleshooting from there.
What is most valuable?
Red Hat is definitely the reason why we go for Linux and why we choose it above Ubuntu . The idea is security and the inbuilt security features. We don't have separate security experts here, so we configure it ourselves. We choose those systems that already have a lot of security features. Red Hat SE Linux is something we appreciate.
Regarding the most valuable features of Red Hat Enterprise Linux , flexibility is the biggest reason. The fact that I can easily manage kernel parameters is a testament to the flexibility of the operating system, and that is why we use it on virtually all our servers.
There are two reasons why I always turn to either Amazon Linux or Ubuntu. My preference for Amazon Linux is because of its SE Linux implementations. My preference for Linux entirely is because of its customizable nature. It is flexible and I can change it to fit whatever my applications' needs are.
What needs improvement?
I have been experimenting with new terminals, and I think that the default terminals for Linux machines in general could be improved. For example, Alacritty. I have been using these things extensively now, so they could do a good job improving their terminals.
For how long have I used the solution?
I have been using the solution for about three years.
What do I think about the scalability of the solution?
I have found it to be the most scalable solution and would rate it an 8.
How was the initial setup?
I have been involved in setting it up from scratch in respect to fixing other peoples' systems, but never for my own use.
The setup was straightforward. I really appreciate how they make it easy to install Kubernetes. I find working with Kubernetes in the cloud easier than working with it on-prem, simply because of swap issues. I appreciate how easy it is to use Amazon Linux as compared to on-prem systems.
What other advice do I have?
I deploy applications atop it. I mostly use it as a server for various DevOps concerns. For example, I have a Kubernetes server running on Red Hat Enterprise Linux and Ansible server running on Red Hat Enterprise Linux. It is a DevOps pipeline that is fed by these separate servers.
We always enable Amazon Linux. We don't switch it off and we do not put it in permissive mode. Where there are issues regarding permissions that Amazon Linux has enforced, we fix them and make it work. SE Linux is enforced on our machines.
I have configured failover for clients using blue-green deployments, where we have identical servers running. That is how we implemented manual failover. They have identical systems running and when one stops working, for any reason, while we are fixing it, these clients remain live.
Whenever I deploy solutions on Amazon Linux, I almost never have to worry about the operating system. Whenever I have problems, it is from the application itself. I have honestly never had any problems with Amazon Linux, aside from disk space issues. But no problems with the operating system itself.
I work as a Linux Administrator, specifically in Linux Support.
I rate Amazon Linux a 9 out of 10.
Which deployment model are you using for this solution?
Public Cloud