Sold by: 4PT IncÂ
Deployed on AWS
Boost your AI projects with our pre-configured Amazon Machine Image (AMI)!
Get started instantly and accelerate your machine learning and deep learning workflows with industry-leading tools: CatBoost, XGBoost, RAPIDS, Keras (TF), PyTorch, and TensorFlow fully GPU-optimized and ready to use.
Enjoy expert technical support with flexible plans: Basic, Standard, Premium, Enterprise, and Custom. We are with you every step of the way to ensure a smooth, efficient experience.
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Overview
Experience the power of Ubuntu 22.04 + GPU + AI Tools Dashboard (TensorFlow, PyTorch, Keras-TF, CatBoost, XGBoost, RAPIDs), enhanced with a modern web based dashboard (GUI) that makes managing your AI environment simple and efficient. From the dashboard you can oversee and control your AI tools, manage multiple Python versions, create and manage dashboard and SSH users, monitor real-time GPU performance statistics, and access many additional features all in one intuitive interface
Discover "yAIT", an Amazon Machine Image (AMI) designed to elevate your artificial intelligence projects to new heights. This integrated solution brings together leading frameworks like CatBoost, XGBoost, RAPIDS, Keras (TensorFlow), PyTorch, and TensorFlow in a fully preconfigured environment, ready for immediate use. Optimized for GPU performance, "yAIT" delivers exceptional speed, significantly accelerating your machine learning and deep learning workflows without the hassle of complex setup
Enjoy fast, hassle-free deployment that eliminates time-consuming manual configurations, letting you focus on building and deploying models efficiently. Plus, benefit from optional expert technical support, giving you the peace of mind that professional assistance is available when you need it. Most importantly, every included tool retains its original functionality and strictly adheres to its respective licensing, ensuring a reliable and transparent experience.
With GPU optimization, instant access to top AI frameworks, and dedicated support, "yAIT" is the perfect solution to power your AI workflows. Ideal for developers, data scientists, and engineers seeking a robust, efficient, and production-ready platform.
Highlights
- GPU-Optimized AMI for ML/DL *Maximizes NVIDIA GPU power for faster training and inference *Pre-installed top ML/DL frameworks: CatBoost, XGBoost, RAPIDS, Keras (TensorFlow), PyTorch, TensorFlow *Enables GPU-accelerated data prep, model building, and deployment *Ideal for scalable, high-efficiency machine learning and deep learning workloads *Ready-to-use environment to speed AI model development and production *Pre-packaged Amazon Machine Image (AMI) with leading AI and machine learning tools
- Ubuntu 22.04 GPU-Optimized AMI for AI *Built on stable, secure Ubuntu 22.04, fully compatible with NVIDIA drivers and CUDA *Pre-configured environment streamlines ML/DL setup, saving time and effort *Harness NVIDIA GPUs for rapid model training, inference, and accelerated AI workflows *Includes top tools: CatBoost, XGBoost, RAPIDS, Keras, PyTorch, TensorFlow *Designed for seamless, high-performance AI development and deployment
- Support & Licensing *Additional charges apply for professional support provided by 4PT Inc. *Tools included under their respective open-source or proprietary licenses *Ideal for developers and enterprises seeking pre-configured AI toolkits with expert support options
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.xlarge Recommended | $19.27 |
g5.4xlarge | $19.27 |
g6.2xlarge | $19.27 |
g5.2xlarge | $19.27 |
p5e.48xlarge | $19.27 |
p4d.24xlarge | $19.27 |
p5.48xlarge | $19.27 |
g4dn.metal | $19.27 |
g6e.4xlarge | $19.27 |
g4dn.16xlarge | $19.27 |
Vendor refund policy
Our no-refund policy for our product on the AWS Marketplace is final. Once your software product is bought and deployed, no refunds will be issued under any circumstances. Please review the description and requirements carefully before purchasing.
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
*Improved User experience *Performance improvements
Additional details
Usage instructions
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Ensure Port 22 is Open In the AWS Management Console:: *Go to EC2 > Security Groups *Select the security group attached to your instance *Under the Inbound rules tab, add a rule to allow TCP traffic on port 22 (SSH) from your desired source (e.g., 0.0.0.0/0 for public access or your IP for restricted access)
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Locate your .pem key file This file is generated and downloaded from the AWS Console when launching the instance (e.g., my-key.pem)
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Set the correct permissions on your .pem file Run the following command to restrict access: sudo chmod 400 my-key.pem
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Connect to your EC2 instance via SSH (port 22) Use the following command (replace PUBLIC_IP with your instance's actual public IP address): ssh -i my-key.pem ubuntu@PUBLIC_IP
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Accept the Terms and Conditions On first login only, the system will display the Terms and Conditions of Use: *Press A to Accept: credentials will be automatically generated for dashboard access *Press C or Ctrl+C to Cancel: your session will be terminated, and access will be denied until you accept the terms
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Access the Web Dashboard Once the terms are accepted, you can access to yAIT in your browser using: http://PUBLIC_IP:2412
Support
Vendor support
For support related to "yAIT ," customers can reach out via email at 4support@4pertech.com When you purchase "yAIT," you gain access to professional technical assistance provided by our expert support team. We offer responsive, personalized help to ensure smooth deployment and optimal use of the AMI. Support covers setup guidance, performance optimization, and issue resolution. Please note that support services are provided at an additional cost, and detailed service plans are available upon request to match your specific needs.
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.
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Customer reviews
reviewer2764809
Has significantly accelerated AI model deployment and improved analysis workflows
Reviewed on Oct 13, 2025
Review from a verified AWS customer
What is our primary use case?
My primary use is to run artificial intelligence models with GPU, taking full advantage of the power for fast processing in my analysis and prediction projects.
How has it helped my organization?
It has greatly improved our organization because it has allowed us to significantly speed up the development and deployment time of models, reducing costs and improving the quality of the results.
What is most valuable?
The features I value most are the direct integration with AWS Marketplace , efficient GPU resource management, and the ease of scaling based on demand. This saves us a lot and reduces headaches with infrastructure.
What needs improvement?
I think it could improve in documentation, making it more detailed for new users and providing some kind of support or tutorials in Spanish. It would be good if the next version included real-time GPU usage monitoring and proactive alerts to optimize costs and avoid bottlenecks.
For how long have I used the solution?
I have used it for approximately one and a half weeks.
Which solution did I use previously and why did I switch?
We previously used other local GPU solutions, but we switched because of the stability, support, and the easy integration with AWSÂ , which makes administration and deployment much easier for us.
What's my experience with pricing, setup cost, and licensing?
Regarding pricing, I would recommend that each company clearly define their usage and size their GPU instances to pay only for what they really use, as the scalability is flexible and helps keep costs under control.
Which other solutions did I evaluate?
Of course, we evaluated other options before choosing, such as Google Cloud and Azure products, but its compatibility and price on AWS Marketplace offered us the best quality-price ratio for our needs.
What other advice do I have?
I advise taking advantage of the AWSÂ integration and the ease this product offers to accelerate your AI projects.
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)