Products

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

Laboratory Optimizer for Mass Testing is an open-source software solution designed to enhance the efficiency and capacity of laboratories conducting mass screenings for infectious diseases like COVID-19. By implementing advanced pool testing algorithms and data analytics, LOMT enables laboratories to test significantly more individuals using existing resources, thereby reducing both costs and turnaround times. The software seamlessly integrates with current laboratory workflows, offering a user-

The AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production AMI is a pre-configured Amazon Machine Image designed to streamline the deployment of deep learning applications on AWS. It integrates TensorFlow 1.10 with Python 3.6 and CUDA 9.2, providing a ready-to-use environment that eliminates the complexities of manual setup. This AMI is optimized for high-performance computing, enabling developers and data scientists to efficiently build, train, and deploy machine learning models on Amazon EC2 inst

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 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 "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

Redmine 3.3 on PostgreSQL is a pre-configured, one-click installation solution that combines Redmine, a free and open-source web-based project management and issue tracking tool, with PostgreSQL as its database backend. This setup is optimized for performance and reliability, utilizing Nginx as the web server and incorporating self-management, self-monitoring, and self-healing components to ensure seamless operation. Key Features and Functionality: - Project Management: Facilitates efficient p

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

Drupal 7 on LAPP 5 is a pre-configured, ready-to-run web application that combines Drupal 7—a free and open-source content management system (CMS) and framework—with the LAPP stack, which includes Linux, Apache, PostgreSQL, and PHP. This appliance is designed to streamline the deployment of Drupal 7 websites by providing an integrated environment that reduces setup time and complexity. Key Features and Functionality: - Pre-Configured Environment: The appliance comes with Drupal 7.54-jet-1, PHP

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 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 "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 AISE TensorFlow 1.7 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines TensorFlow 1.7, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. This setup is optimized for CPU performance, providing a stable and efficient environment for developing and deploying machine learning models. Key Featu

The "TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu" Amazon Machine Image (AMI) is a pre-configured environment designed to streamline the development and deployment of deep learning applications. This AMI integrates TensorFlow 1.5 with Python 3.6, optimized for NVIDIA GPUs using CUDA 9.1, all within an Ubuntu operating system. Key Features and Functionality: - Pre-Configured Environment: Eliminates the need for manual setup by providing a ready-to-use deep learning framewo

The REMP Ruby Stack with Nginx, MySQL, and Passenger is a fully integrated, pre-configured software stack designed to streamline the deployment and management of Ruby applications. This stack combines the Ruby programming language with the Nginx web server, MySQL database, and Passenger application server, providing a cohesive environment optimized for web-specific tasks. It is suitable for installation on new or existing Linux servers, virtual machines, Docker containers, Vagrant environments,

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 AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and deep learning applications. It combines TensorFlow 1.10, Python 3.6, and CUDA 9.2, providing a robust platform for developing and deploying complex models. This environment is optimized for high-performance execution, ensuring efficient training and inference processes. Key Features and Functionality: - TensorFlow 1.10 Integration: Offers the capabil

The AISE TensorFlow 1.10 Python 2.7 CUDA 9.2 Notebook is a pre-configured, fully integrated runtime environment designed for deep learning applications. It combines TensorFlow 1.10, Python 2.7, and NVIDIA CUDA 9.2, providing a seamless platform for developing and deploying machine learning models. This environment is optimized for high-performance execution, enabling efficient training and inference processes. Key Features and Functionality: - TensorFlow 1.10 Integration: Leverages the capabil

AliSQL is a customized branch of MySQL developed by Alibaba Cloud, designed to meet the demands of high-throughput, high-concurrency, and low-latency online transaction processing systems. Building upon the MySQL Community Edition, AliSQL introduces enterprise-grade features and optimizations that enhance performance, stability, and security, making it particularly suitable for large-scale enterprise applications. Key Features and Functionality: - Thread Pool: Implements a listener-worker proc