Products

The Optimized LEMP Stack PHP 5 with Basic Open Source Support is a pre-configured software stack designed to facilitate the rapid deployment of PHP-based web applications. It integrates Linux, Nginx, MySQL, and PHP 5, providing a stable and efficient environment for developers. This stack is tailored for production use, featuring SSL auto-configuration with Let's Encrypt certificates, and includes essential tools like phpMyAdmin and Composer. Key Features and Functionality: - SSL Auto-Configur

The Caffe Python 2.7 CPU Production AMI is a pre-configured and fully integrated software stack designed for deep learning applications. It features Caffe, an open-source deep learning framework developed by UC Berkeley, optimized for image classification and segmentation tasks. This AMI is tailored for CPU-based environments, providing a stable and high-performance execution platform for both training and inference tasks. Key Features and Functionality: - Pre-Configured Environment: The AMI c

The AISE TensorFlow 1.8 Python 2.7 CUDA 9.1 Production is a pre-configured and fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Python 2.7, and CUDA 9.1 to provide a stable and tested execution environment optimized for NVIDIA GPUs. This setup is ideal for training, inference, and running API services, and can be seamlessly integrated into continuous integration and deployment workflows. Key Features and Functionality: -

The MXNet 1 Python 3.6 CPU Production environment is a pre-configured software stack that integrates Apache MXNet, an open-source deep learning framework, with Python 3.6. This setup offers a stable and tested execution environment optimized for CPU-based tasks, facilitating efficient training, inference, and deployment of deep learning models. It is designed to seamlessly integrate into continuous integration and deployment workflows, making it suitable for both short and long-running high-perf

The "Caffe Python 3.6 CPU Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deploying and running deep learning applications using the Caffe framework on Ubuntu. This AMI is tailored for CPU-based computations, making it suitable for users who prefer or require CPU processing over GPU acceleration. Key Features and Functionality: - Preconfigured Environment: The AMI comes with Caffe and Python 3.6 fully installed and configured, allowing

The LEMP 7 Optimized Amazon Machine Image (AMI) is a pre-configured server environment designed for deploying high-performance web applications on AWS EC2 instances. It integrates Linux, Nginx, MySQL, and PHP, providing a robust and efficient platform for managing dynamic websites and applications. This stack is tailored for developers and system administrators seeking a reliable and scalable solution for their web hosting needs. Key Features and Functionality: - Pre-Configured Environment: Th

TensorFlow CPU MKL Production is a pre-configured runtime environment designed for machine learning tasks, integrating TensorFlow with Intel's Math Kernel Library (MKL to enhance performance on CPU-based systems. This setup is particularly beneficial for users seeking optimized training and inference capabilities without the need for GPU resources. Key Features and Functionality: - Optimized Performance: Leverages Intel MKL to accelerate deep learning computations on CPUs, providing significan

The "TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deep learning applications. This AMI integrates TensorFlow 1.5 with Python 2.7, optimized for NVIDIA GPUs using CUDA 9.1, all running on the Ubuntu operating system. It offers a streamlined setup for developers and researchers aiming to leverage GPU acceleration for machine learning tasks. Key Features and Functionality: - Pre-configured E

The LEMP 5 Optimized stack is a pre-configured, high-performance web server environment designed to streamline the deployment of web applications. It integrates Linux, Nginx, MySQL, and PHP, offering an efficient and scalable solution for developers and businesses seeking to host dynamic websites and applications. Key Features and Functionality: - Nginx Web Server: Utilizes Nginx for handling multiple requests within a single thread, enhancing performance and resource efficiency compared to tr

The AISE PyTorch 0.4 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.4, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, providing a seamless platform for developing and deploying deep learning models. Optimized for NVIDIA GPUs, this environment leverages CUDA 9.1 to accelerate computations, making it ideal for both training and inference tasks.

The TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production AMI is a pre-configured, fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.5, Python 3.6, and CUDA 9, optimized for NVidia GPU acceleration, providing a stable and tested execution environment for training, inference, or running as an API service. This AMI is tailored for both short and long-running high-performance tasks and can be seamlessly integrated into continuous

The "Optimized LAMP Stack PHP 7 with Basic Open Source Support" is a pre-configured Amazon Machine Image designed to provide a stable and ready-to-use LAMP development environment. This stack runs on Amazon Linux 2 and includes Apache 2.4, MariaDB 10.5, PHP 7.4, and phpMyAdmin 5.1. It is HTTPS-optimized and enables TLS with a self-signed digital certificate, ensuring secure communications. The AMI offers consistent software pricing across all instance types and includes basic open-source support

The Optimized LEMP Stack PHP 5 with Let's Encrypt is a pre-configured and performance-tuned environment designed for deploying web applications. This stack replaces the traditional Apache server with Nginx, a lightweight and high-performance web server, and utilizes PHP in `php-fpm` mode to enhance processing efficiency. It also integrates Let's Encrypt SSL certificates, enabling secure HTTPS connections. Key Features and Functionality: - Nginx Web Server: Provides a high-performance, scalabl

PyTorch CPU MKL Production is a pre-configured and fully integrated software stack that combines PyTorch, an open-source machine learning library, with the Python programming language. Designed for high-performance tasks, this stack is optimized for CPU usage, making it suitable for both short and long-running machine learning workloads. It offers a stable and production-ready environment, ensuring long-term support and regular updates. Key Features and Functionality: - High-Performance Execu

MyRocks 5.6 is an open-source storage engine for MySQL, developed by Facebook, that integrates RocksDB into MySQL 5.6. It is designed to enhance database performance by improving space efficiency, write efficiency, and read efficiency, particularly on flash storage. By utilizing a Log-structured Merge-Tree (LSM-Tree architecture, MyRocks offers significant advantages over traditional storage engines like InnoDB. Key Features and Functionality: - Greater Space Efficiency: MyRocks provides up to

The LEMP Stack PHP 5.6 is a pre-configured, ready-to-run image designed to simplify the development and deployment of PHP applications. It integrates NGINX, MySQL, PHP 5.6, and phpMyAdmin, providing a comprehensive environment for developers to build and manage web applications efficiently. Key Features and Functionality: - Fully Optimized LEMP Stack: The stack includes NGINX as the web server, MySQL for database management, and PHP 5.6 for server-side scripting, all configured for optimal per

The NodeJS 4 Web Stack is a pre-configured, ready-to-use software stack designed for developing and deploying Node.js applications. It integrates Node.js version 4.8.4 with the Nginx web server, providing a robust environment for building scalable, high-performance web applications. This stack is particularly beneficial for developers familiar with JavaScript and JSON, as it enables seamless operation across the backend, frontend, and database components. Key Features and Functionality: - Node

The "MXNet 1 Python 2.7 CPU Production" is an Amazon Machine Image designed to facilitate the development and deployment of deep learning models using Apache MXNet on Amazon EC2 instances. This AMI is pre-configured with MXNet version 1.x and Python 2.7, optimized for CPU-based computations, providing a ready-to-use environment for machine learning practitioners. Key Features and Functionality: - Pre-Installed MXNet Framework: The AMI comes with Apache MXNet 1.x, an open-source deep learning f

Drupal 7 on LEPP is a pre-configured, ready-to-run web application that combines the robust Drupal 7 content management system with the optimized LEPP stack—Linux, Nginx, PostgreSQL, and PHP. This integration offers a seamless environment for developing and deploying dynamic websites and applications. Key Features and Functionality: - Pre-Configured Environment: The appliance comes fully set up with Drupal 7, eliminating the need for manual installation and configuration. - Optimized LEPP Sta