A fully pre-configured Deep Learning Container with TensorFlow 2.0 and open-source libraries for machine learning, including Jupyter Lab & Notebook, Keras, Theano, PyTorch, OpenCV, H2O, CNTK, NVIDIA CUDA, cuDNN, Numpy, Scipy, scikit-learn, XGBoost, etc. The container provides a seamless user experience while delivering a stable and tested environment for engineers to build and train ML models on AWS GPU EC2, ECS, and EKS. Start utilizing the container to dramatically save your time and resources spent on settings, configurations, and installs. If you need any help creating a custom container, feel free to reach out!