Products

Microsoft Windows Server 2012 R2 RTM with SQL Server 2014 Standard is a robust combination of Microsoft's server operating system and relational database management system, designed to deliver a comprehensive platform for enterprise-level applications and services. This integration provides a stable and scalable environment for managing complex workloads, supporting virtualization, and ensuring data integrity. Key Features and Functionality: - Enhanced Virtualization: Windows Server 2012 R2 in

GluonCV DeepLab Semantic Segmentation is a pre-trained deep learning model designed to perform semantic segmentation tasks, which involve classifying each pixel in an image into a specific category. Built upon the DeepLabV3 architecture, this model utilizes the GluonCV toolkit and the MXNet framework to deliver state-of-the-art performance in segmenting complex visual scenes. It is particularly effective in applications requiring detailed image analysis, such as autonomous driving, medical imagi

Microsoft Windows Server 2012 R2 with NVIDIA Tesla Driver is a pre-configured Amazon Machine Image (AMI) that combines the robust capabilities of Windows Server 2012 R2 with the advanced computational power of NVIDIA Tesla GPUs. This integration is designed to deliver high-performance computing solutions suitable for a variety of demanding applications. Key Features and Functionality: - Integrated NVIDIA Tesla GPU Support: Leverages NVIDIA Tesla GPUs to accelerate computational tasks, enhancin

Microsoft Windows Server 2016 with NVIDIA GRID Driver is a pre-configured Amazon Machine Image (AMI) that combines the robust capabilities of Windows Server 2016 with the advanced graphics processing power of NVIDIA GRID technology. This integration provides a stable, secure, and high-performance environment tailored for graphics-intensive applications, including 3D rendering, visualization, video encoding, and virtual reality. By leveraging Amazon EC2 instances, users can efficiently deploy and

Microsoft Windows Server 2012 R2 RTM with SQL Server 2016 Express is a pre-configured Amazon Machine Image (AMI)) that combines the robust capabilities of Windows Server 2012 R2 with the lightweight, yet powerful, SQL Server 2016 Express edition. This AMI is designed to provide a reliable and scalable environment for developing, testing, and deploying applications that require a Windows-based infrastructure and a SQL Server database. Key Features and Functionality: - Pre-Configured Environment

Microsoft Windows Server 2019 with SQL Server 2017 Express is a pre-configured Amazon Machine Image (AMI) offered by Amazon Web Services (AWS). This AMI combines the robust capabilities of Windows Server 2019 with the lightweight, free edition of SQL Server 2017 Express, providing a reliable and cost-effective environment for developing, testing, and deploying applications. Designed for seamless integration with AWS services, this AMI simplifies the setup process, allowing users to focus on thei

The iSCSI Target Server for Oracle RAC is a specialized solution designed to facilitate the deployment of Oracle Real Application Clusters (RAC on Amazon Web Services (AWS) infrastructure. By providing shared storage over the network using the iSCSI protocol, this server enables multiple Oracle RAC nodes to access the same storage resources concurrently, ensuring data consistency and high availability. This approach allows organizations to leverage the scalability and flexibility of AWS while ma

This is a Object Detection Answering model from TensorFlow Hub

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

This is a Extractive Question Answering model from PyTorch Hub

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

This is a Image Classification model from TensorFlow Hub

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

Use the Nimble Studio Linux Stream AMI to bring and install additional software to fit your studio's needs.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

This is a Extractive Question Answering model from PyTorch Hub

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

This is a Image Classification model from TensorFlow Hub