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High Performance Computing (325 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)


Comes with deep learning frameworks configured with CUDA 8. Includes Apache MXNet, Caffe, Caffe2, TensorFlow, PyTorch, Theano, CNTK, Torch and Keras. THIS AMI IS NOT UPDATED ANYMORE. For latest AMI, go to: https://aws.amazon.com/marketplace/pp/B077GCH38C Release tags/Branches used: MXNet 0.11.0...

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 2018.03 - 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 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 Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker for deploying your own custom deep learning environment. With the AWS Deep Learning Base AMI, developers can easily install, test, and use their own custom deep...

Linux/Unix, Ubuntu 16.04 - 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)


AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker for deploying your own custom deep learning environment. With the AWS Deep Learning Base AMI, developers can easily install, test, and use their own custom deep...

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


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)