This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. G4dn instances, powered by NVIDIA T4 GPUs, are the lowest cost GPU-based instances in the cloud for machine learning inference and small scale training. However, you are still responsible for AWS charges for all AWS resources used. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. The Windows Server 2019 with NVIDIA Driver AMI is provided at no cost. For a complete list of charges and prices for Amazon EC2 and more information about the purchase models, see Amazon EC2 pricing. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & and running performance-tuned, tested, and NVIDIA certified docker containers. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. Since that launch, AWS customers have used the G2 instances to deliver high performance graphics to mobile devices, TV sets, and desktops. The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. New Next-Generation GPU-Powered EC2 Instances (G3) I first wrote about the benefits of GPU-powered computing in 2013 when we launched the G2 instance type.
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