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NVIDIA (68 results) showing 1 - 10



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 Volta...

Linux/Unix, Ubuntu Ubuntu 18.04 - 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 provide...

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


The Amazon EKS-optimized AMI with GPU support is built on top of the standard Amazon EKS-optimized AMI, and is configured to serve as an optional image for Amazon EKS worker nodes to support GPU workloads. The EKS-optimized AMI is configured to serve as the base image for Amazon P2 and P3 instances...

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


The Amazon Linux AMI is a supported and maintained Linux image provided by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2). It provides a stable, secure, and high performance execution environment with NVIDIA Tesla Drivers. Amazon Web Services provides ongoing security and maintenance...

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


Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for developing and deploying Machine Learning and High Performance Computing applications. It provides a stable, secure, and high-performance execution environment with NVIDIA Tesla Drivers pre-installed.

Windows, Windows Server 2012 R2 R2 6.3.9600 - 64-bit Amazon Machine Image (AMI)


Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for developing and deploying Machine Learning and High Performance Computing applications. It provides a stable, secure, and high-performance execution environment with NVIDIA Tesla Drivers pre-installed.

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


Starting from $0.00 to $0.30/hr for software + AWS usage fees

Jupyter notebook instance ready to train deep learning models - Start coding in minutes - Runs on GPU automatically if available (choose p2 or p3 instances), otherwise runs on CPU - Latest versions of pytorch and tensorflow - Automatically starts a jupyter notebook server on https port 8888. The password...

Linux/Unix, Amazon Linux Amazon Linux 2 - 4.14 kernel (ami-009d6802948d06e52 - 64-bit x86) - 64-bit Amazon Machine Image (AMI)


PGI Community Edition Fortran, C and C++ compilers and tools for multicore CPUs and NVIDIA GPUs, including all OpenACC, OpenMP and CUDA Fortran features. Enables development of performance-portable HPC applications with uniform source code across the most widely used parallel processors and systems....

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

  • (0)
  • Version 180916p041p363c921481c721
  • Sold by Jetware

Starting from $0.00 to $1.33/hr for software + AWS usage fees

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 Python...

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

  • (0)
  • Version 180211t150p363c90176c705-2
  • Sold by Jetware

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous...

Linux/Unix, Ubuntu 16.06 - 64-bit Amazon Machine Image (AMI)