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High Performance Computing (338 results) showing 1 - 10



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 isolated...

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 isolated...

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 learning...

Linux/Unix, Ubuntu 16.04 - 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 the...

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 isolated...

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 learning...

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, etc. for deploying your own custom deep learning environment. For example, for machine learning developers contributing to open source deep learning framework enhancements,...

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