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NVIDIA (69 results) showing 1 - 10



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)


NVIDIA(r) maintained Amazon Machine Image with CUDA(r) Toolkit 7.5 on Amazon Linux 2016.03 (64-bit architecture) operating system. The CUDA(r) Toolkit provides a development environment for C/C++ developers building GPU-accelerated applications. It includes a compiler for NVIDIA GPUs, math libraries,...

Linux/Unix, Amazon Linux 2016.03 - 64-bit Amazon Machine Image (AMI)


NVIDIA DIGITS is an interactive deep neural network training application for engineers and data scientists. It can be used to rapidly train highly accurate deep neural network for image classification, object detection and image segmentation tasks. DIGITS simplifies common deep learning tasks such as...

Linux/Unix, Ubuntu 16.04 - 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)


NVIDIA DIGITS puts the power of deep learning in the hands of data scientists and researchers. It can be used to rapidly design the best deep neural network (DNN) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing...

Linux/Unix, Ubuntu 14.04 - 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)