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GPU (167 results) showing 131 - 140



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

Using the NVIDIA Virtual Machine Image (VMI) with the RTX Virtual Workstation software (formerly NVIDIA Quadro Virtual Data Center Workstation) in the AWS marketplace, customers can easily spin up a VM running on Ubuntu 18.04 in minutes. Easily configure with the NVIDIA GPU instance, vCPU, memory,...

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 RTX Virtual Workstation software (formerly NVIDIA Quadro Virtual Data Center Workstation) 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,...

Windows, Windows Server 2016 Base 20H1 - 64-bit Amazon Machine Image (AMI)

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

Ubuntu 20.04 with Jupyter, JupyterLab, TensorBoard, RStudio Server and preconfigured conda environments for Tensorflow 2.4.0, MXNet (Incubating) 1.7.0 and PyTorch 1.7.0 including the latest matching versions of CUDA 10.2 and 11.0, cuDNN 8 and NCCL for GPU-accelerated computing. There is no need for...

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


"AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker and EFA support. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for...

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


AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For...

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


AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For...

Linux/Unix, Amazon Linux 2019.01 - 64-bit Amazon Machine Image (AMI)


AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For...

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


NVIDIA IndeX is a 3D volumetric interactive visualization SDK that allows scientists and researchers to visualize and interact with massive data sets, make real-time modifications, and navigate to the most pertinent parts of the data, all in real-time, to gather better insights faster. IndeX...


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...