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NVIDIA (107 results) showing 91 - 100



AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep learning environment. For example, for machine learning developers contributing to open source deep learning framework...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning AMI are built and optimized for building, training, debugging, and serving deep learning models in EC2 with popular frameworks such as TensorFlow, MXNet, PyTorch, Chainer, Keras, and more. Deep learning frameworks are installed in Conda environments to provide a reliable and...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning AMI are built and optimized for building, training, debugging, and serving deep learning models in EC2 with popular frameworks such as TensorFlow, MXNet, PyTorch, Chainer, Keras, and more. Deep learning frameworks are installed in Conda environments to provide a reliable and...

Linux/Unix, Ubuntu 18.04 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning AMI are built and optimized for building, training, debugging, and serving deep learning models in EC2 with popular frameworks such as TensorFlow, MXNet, PyTorch, Chainer, Keras, and more. Deep learning frameworks are installed in Conda environments to provide a reliable and...

Linux/Unix, Amazon Linux 2018.03 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning AMI are built and optimized for building, training, debugging, and serving deep learning models in EC2 with popular frameworks such as TensorFlow, MXNet, PyTorch, Chainer, Keras, and more. Deep learning frameworks are installed in Conda environments to provide a reliable and...

Linux/Unix, Amazon Linux 2018.11 - 64-bit Amazon Machine Image (AMI)


The AWS Deep Learning Containers for TensorFlow include containers for training and inference for CPU and GPU, optimized for performance and scale on AWS. These Docker images have been tested with SageMaker, EC2, ECS, and EKS and provide stable versions of NVIDIA CUDA, cuDNN, Intel MKL, Horovod and...


The AWS Deep Learning Containers for MXNet include containers for training and inference for CPU and GPU, optimized for performance and scale on AWS. These Docker images have been tested with SageMaker, EC2, ECS, and EKS and provide stable versions of NVIDIA CUDA, cuDNN, Intel MKL, and other...

  • Version 180413t170p363c90176c712
  • Sold by Jetware

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily...

Linux/Unix, Amazon Linux 2017.09.1 - 64-bit Amazon Machine Image (AMI)

  • Version 180424t150k212p2714j100c90176c705
  • Sold by Jetware

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the...

Linux/Unix, Amazon Linux 2018.03.0 - 64-bit Amazon Machine Image (AMI)

  • Version 180424t170k212p363j100c91853c712
  • Sold by Jetware

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the...

Linux/Unix, Amazon Linux 2018.03.0 - 64-bit Amazon Machine Image (AMI)