Scale distributed machine learning (ML) training to thousands of accelerated instances and seamlessly deploy models for inference in production.
Develop on accelerators—including AWS Trainium, AWS Inferentia, and NVIDIA GPUs—with the newest drivers, frameworks, libraries, and tools.
Reduce risk with customized, stable machine images regularly patched to address security vulnerabilities.
How it works
AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning on Amazon EC2. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, NVIDIA CUDA drivers and libraries, Intel MKL, Elastic Fabric Adapter (EFA), and AWS OFI NCCL plugin, allowing you to quickly deploy and run these frameworks and tools at scale.
Autonomous vehicle development
Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests.
Natural language processing
Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers.
Healthcare data analysis
Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.
Accelerated model training
DLAMI includes the latest NVIDIA GPU acceleration through preconfigured drivers, the Intel Math Kernel Library (MKL), Python packages, and the Anaconda Platform.
Cimpress invests in and builds customer-focused, entrepreneurial, print mass customization businesses for the long term. Cimpress makes it easy and affordable for customers to make an impression – for their customers, organization or loved ones. Whether it’s promotional material amplifying a business’ brand or an announcement celebrating a birth, Cimpress combines the individual personalization customers desire with the tangible impact of physical products.
"Cimpress uses AWS Deep Learning AMIs to rapidly set up and deploy our machine learning environments. The DLAMIs reduce our operational overhead and we can get our products to market faster by focusing on the core work of training and deploying our deep learning models for computer vision and generative AI.”
Ajay Joshi, Principal Software Engineer – Cimpress
How to get started
See how you can accelerate your model training
Learn how DLAMI can expedite your development and model training.
Explore the AMIs
Select the right AMI and instance type for your project.
Take the hands-on training
Start building with 10-minute tutorials.