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NVIDIA (101 results) showing 41 - 50


Free Trial


Starting from $0.03/hr or from $150.00/yr (43% savings) for software + AWS usage fees

Ubuntu 18.04 with Jupyter, JupyterLab, TensorBoard and preconfigured conda environments for TensorFlow 2 including the latest matching versions of CUDA 10.1 and cuDNN 7.6.5 for GPU-accelerated computing. There is no need for an SSH session to launch a notebook. All services, including TensorBoard...

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

  • Version 171219c081p2714c90176c705
  • Sold by Jetware

A pre-configured and fully integrated software stack with Caffe2, a lightweight, modular, and scalable deep learning framework. 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 integration...

Linux/Unix, Amazon Linux 2017.09.1 - 64-bit Amazon Machine Image (AMI)

Free Trial

  • Version 2018-001
  • Sold by ai-ami

Starting from $0.10 to $0.15/hr for software + AWS usage fees

AMI for GPU based systems. Comes with nvidia drivers, Cuda 9.0 and Cudnn 7.1 The frameworks and tools being developed for deep learning, machine learning and AI are vast and being updated at a dramatically fast pace. In many cases, these frameworks require different versions and combinations of...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)


Starting from $0.00/hr or from $0.00/yr (up to 15% savings) for software + AWS usage fees

This image includes Amazon Linux 2 w/updates and includes support. Amazon Linux 2 is the next generation of Amazon Linux AMI, a Linux server operating system from Amazon Web Services (AWS). It is designed to provide a secure, stable, and high-performance execution environment for customers to...

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

  • Version 180306t160p363c91851c705
  • Sold by Jetware

Starting from $0.00 to $0.24/hr for software + AWS usage fees

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 16.04 - 64-bit Amazon Machine Image (AMI)


The AWS Deep Learning Containers for PyTorch 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...


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


Starting from $1.47/hr or from $12,877.00/yr (up to 24% savings) for software + AWS usage fees

Investigate and automate with best-in-class GPU visual graph analytics and automation. Whether you are an analyst, researcher, or developer, explore your data as a graph with a few nodes and edges.. to millions! AWS MARKETPLACE - Private: Runs in your AWS account - Starts at $1.47/hr for...

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

  • Version 171216c10p363c90176c705
  • Sold by Jetware

A pre-configured and fully integrated software stack with Caffe deep learning framework 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 integration and deployment...

Linux/Unix, Amazon Linux 2017.09.1 - 64-bit Amazon Machine Image (AMI)

  • Version 171219t100p363c90176c705
  • Sold by Jetware

A pre-configured and fully integrated software stack with Theano, a numerical computation library for Python, 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 integration...

Linux/Unix, Amazon Linux 2017.09.1 - 64-bit Amazon Machine Image (AMI)