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High Performance Computing (336 results) showing 1 - 10



Amazon EC2 running Red Hat Enterprise Linux provides a dependable platform to deploy a broad range of applications. By running RHEL on EC2, you can leverage the cost effectiveness, scalability and flexibility of Amazon EC2, the proven reliability of Red Hat Enterprise Linux, and AWS premium support...

Linux/Unix, Red Hat Enterprise Linux 8.0_HVM_GA - 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)


The FPGA (field programmable gate array) AMI is a supported and maintained CentOS Linux image provided by Amazon Web Services. The AMI is pre-built with FPGA development tools and run time tools required to develop and use custom FPGAs for hardware acceleration. The FPGA Developer AMI along with...

Linux/Unix, CentOS 7.5 - 64-bit Amazon Machine Image (AMI)


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 18.04 - 64-bit Amazon Machine Image (AMI)


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


The Deep Learning AMI is a base Windows image provided by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2). It is configured with NVidia CUDA 8 and 9, SciPy, Conda and NVidia Driver 385.54. The AMI also has MXNet, Caffe and TensorFlow. The AMI is specially designed to...

Windows, Windows Server 2016 Base 10 - 64-bit Amazon Machine Image (AMI)

  • Version 19.11.3
  • Sold by NVIDIA

The NVIDIA Deep Learning AMI is an optimized environment for running the Deep Learning, Data Science, and HPC containers available from NVIDIA's NGC registry. The Docker containers available on the NGC container registry are tuned, tested, and certified by NVIDIA to take full advantage of NVIDIA...

Linux/Unix, Ubuntu 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)