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Deep Learning AMI Amazon Linux 2 | Support by SupportedImages - logo

Deep Learning AMI Amazon Linux 2 | Support by SupportedImages

This product has charges associated with it for seller support. The Deep Learning AMI (Amazon Linux 2) provides a pre-configured environment for developers and data scientists to accelerate their deep learning projects. With a wide array of popular frameworks like TensorFlow, PyTorch, and MXNet included, users can effortlessly build, train, and deploy machine learning models. This AMI supports GPU instances, enabling high-performance computing for complex tasks and large datasets. The comprehensive documentation and sample notebooks facilitate a smooth onboarding experience, making it ideal for both beginners and experts. Perfect for research in AI, academic projects, or production-level applications, this AMI empowers users to innovate faster in the cloud while leveraging the robust scalability and flexibility of AWS infrastructure.

Available in

AWS Marketplace

Available in

AWS Marketplace

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.

The Deep Learning AMI based on Amazon Linux 2 is an optimized environment for building, training, and deploying deep learning models in the AWS Cloud. This AMI provides a powerful set of tools and libraries, including popular frameworks such as TensorFlow, PyTorch, Apache MXNet, and more, pre-installed and ready to use.

Key Features

Pre-configured Frameworks: Easily access the latest versions of deep learning frameworks, facilitating rapid development and experimentation.

GPU Support: Leverage GPU instances for accelerated compute performance, enhancing model training and inference times.

Extensive Documentation: Includes comprehensive documentation and examples, allowing users to quickly onboard and start building.

Development Tools: Integrated support for Jupyter Notebooks, making it convenient for interactive development and data visualization.

Amazon S3 Integration: Simplified access to Amazon S3 for large datasets, ensuring efficient data handling and storage solutions.

Benefits

Reduced Setup Time: Get started immediately with a ready-to-use environment, minimizing the overhead involved in software installation and configuration.

Cost Efficiency: Pay only for what you use with flexible pricing options for EC2 instances, ensuring optimal resource utilization.

Scalability: Easily scale your applications with AWS's infrastructure, allowing you to handle increasing workloads without interruption.

Use Cases

Research and Development: Ideal for researchers and data scientists looking to develop and test deep learning models without the hassle of environment setup.

Production Deployment: Deploy production-ready machine learning models efficiently, utilizing the robust AWS infrastructure to handle real-time inference.

Education: Serve as a learning platform for students and professionals looking to gain hands-on experience with deep learning technologies and best practices.

Unlock the potential of deep learning in the cloud with the Deep Learning AMI on Amazon Linux 2, designed to enhance productivity and innovation for developers and data scientists alike.

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