Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Keras is a powerful, open-source deep learning framework that simplifies the development, training, and deployment of machine learning models. With support for TensorFlow, JAX, and PyTorch backends, Keras enables developers and data scientists to build AI applications quickly and efficiently.
Overview
Keras is a modern, open-source deep learning framework designed to make machine learning and artificial intelligence development faster, easier, and more accessible. Its intuitive API allows developers, researchers, and data scientists to create sophisticated neural networks with minimal code while maintaining flexibility for advanced customization.
Built with a focus on simplicity and productivity, Keras supports multiple backends, including TensorFlow, JAX, and PyTorch, enabling users to choose the computational engine that best fits their requirements. From image classification and object detection to natural language processing and predictive analytics, Keras provides the tools needed to develop, train, and deploy high-performance AI models.
Keras includes a rich collection of pre-built layers, optimizers, loss functions, and utilities that accelerate model development. Its seamless integration with modern machine learning ecosystems makes it suitable for educational projects, research environments, and enterprise-scale AI applications.
Whether you are building your first neural network or deploying production-grade deep learning solutions, Keras offers a flexible and scalable platform for developing cutting-edge machine learning models across a wide range of industries and use cases.
Highlights
- Simplifies deep learning model creation, training, and deployment with clean and intuitive code.
- Works seamlessly with TensorFlow, JAX, and PyTorch for maximum flexibility.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
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 |
|---|---|
m4.large Recommended | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
t3.medium | $0.03 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t3.nano | $0.03 |
r3.large | $0.03 |
r4.large | $0.03 |
t3.large | $0.03 |
Vendor refund policy
No Refund
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) .
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
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #cd ~/keras-project #source venv/bin/activate #python --version #pip show keras
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
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.
Similar products
Pre-configured Deep Learning environment with TensorFlow 2.15 and Keras 3.0 on Ubuntu 22.04 LTS. This optimized AMI includes the complete machine learning stack ready for immediate deployment. Perfect for AI research, computer vision, NLP projects, and production ML workflows.
Includes full Python data science toolkit: Jupyter Lab, pandas, NumPy, scikit-learn, OpenCV, and matplotlib. GPU-ready configuration supports both CPU and accelerated computing. Enterprise-grade setup saves hours of installation and configuration time. This product wherein additional charges apply for support provided by Galaxys
This product has charges associated with it for seller support. Keras is an open-source deep learning framework that provides a simple, user-friendly interface for building and training neural networks.
This product has charges associated with seller support and maintenance. Accelerate deep learning with our GPU-optimized Keras (TensorFlow) AMI on Ubuntu Server 22.04. Preconfigured with CUDA and cuDNN for maximum compatibility, this AMI delivers a ready-to-use environment that simplifies model development, training, and deployment. Harness NVIDIA GPUs to speed up workflows and cut experimentation time. Enhanced with a modern web-based dashboard, you can manage users, SSH access, Python 3 versions, and GPU performance reports effortlessly. Flexible support plans including Basic, Standard, Premium, Enterprise and Custom, provide expert guidance at every stage of your AI journey.
The solution measures the prominent robustness metrics for a Keras based image classifier.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.