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This software product is available with the option of additional technical support and is built upon AWS Deep Learning AMI (Amazon Linux 2). For support inquiries, you can contact us via email at support@[provider email]. AWS Deep Learning AMIs are specifically designed and fine-tuned for various deep learning tasks on Amazon EC2 instances. They come with popular deep learning frameworks like TensorFlow, MXNet, PyTorch, and others, all neatly organized within Conda environments to ensure stability and isolation.

Key highlights of the AWS Deep Learning AMI include:

Highly optimized deep learning frameworks such as TensorFlow (1.x, 2.x), PyTorch (1.x), and MXNet (1.x) tailored for AWS infrastructures. These frameworks are neatly structured within Conda environments, making setup and usage a breeze.

Native support for AWS Inferentia, compatible with the Inf1 instance family.

A comprehensive suite of AWS Deep Learning Tools, including AWS Elastic Fabric Adapter (EFA) and AWS Neuron, enhancing your deep learning capabilities.

Full NVIDIA Deep Learning Software package, encompassing the NVIDIA GPU Driver, CUDA Toolkit, cuDNN, NCCL, and Fabric Manager.

Containerization capabilities with Docker and NVIDIA-Docker, facilitating the creation and execution of GPU-accelerated Docker containers.

Enhanced performance on Intel-based systems thanks to the Intel Architecture performance library Intel MKL-DNN.

An extensive collection of popular tools such as awscli, boto3, numpy, scikit-learn, opencv, pandas, matplotlib, graphviz, jupyter, ipython, and more, providing comprehensive support for data science and deep learning tasks.