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GPU (141 results) showing 121 - 130



Starting from $0.00 to $0.20/hr for software + AWS usage fees

Using the NVIDIA Virtual Machine Image (VMI) with the Quadro Virtual Workstation software in the AWS marketplace, customers can easily spin up a VM running on Linux Ubuntu in minutes. Easily configure with the NVIDIA GPU instance, vCPU, memory, and storage you need, without having to purchase any...

Linux/Unix, Amazon Linux Amazon-linux-2 - 64-bit Amazon Machine Image (AMI)


Starting from $0.00 to $0.20/hr for software + AWS usage fees

Using the NVIDIA Virtual Machine Image (VMI) with the Quadro Virtual Workstation software in the AWS marketplace, customers can easily spin up a VM running on Linux Ubuntu in minutes. Easily configure with the NVIDIA GPU instance, vCPU, memory, and storage you need, without having to purchase any...

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


Starting from $0.00 to $0.20/hr for software + AWS usage fees

Using the NVIDIA Virtual Machine Image (VMI) with the Quadro Virtual Workstation software in the AWS marketplace, customers can easily spin up a VM running on Windows Server 2016 in minutes. Easily configure with the NVIDIA GPU instance, vCPU, memory, and storage you need, without having to...

Windows, Windows Server 2016 Base 1803 - 64-bit Amazon Machine Image (AMI)


Starting from $0.00 to $0.20/hr for software + AWS usage fees

Using the NVIDIA Virtual Machine Image (VMI) with the Quadro Virtual Workstation software in the AWS marketplace, customers can easily spin up a VM running on Windows Server 2019 in minutes. Easily configure with the NVIDIA GPU instance, vCPU, memory, and storage you need, without having to...

Windows, Windows Server 2019 Base 1803 - 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...


Kinetica is a GPU-accelerated, in-memory analytics database that delivers truly real-time response to queries on large, complex and streaming data sets: 100x faster performance than traditional databases. Kinetica's fully distributed architecture and simplified data structures lead to more...

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


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...


A fully pre-configured Deep Learning Container with TensorFlow 2.0 and open-source libraries for machine learning, including Jupyter Lab & Notebook, Keras, Theano, PyTorch, OpenCV, H2O, CNTK, NVIDIA CUDA, cuDNN, Numpy, Scipy, scikit-learn, XGBoost, etc. The container provides a seamless user...

  • 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 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)