Products

The AISE PyTorch 0.4 Python 3.6 CPU 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, a browser-based interactive platform for programming and data analysis. Optimized for CPU performance, this environment facilitates efficient development and execution of machine learning models without the need for GPU resources.

The Optimized LEMP Stack PHP 7 on Ubuntu is a pre-configured Amazon Machine Image (AMI) designed to provide developers and system administrators with a high-performance environment for deploying dynamic web applications on AWS EC2. This stack integrates Linux, Nginx, MySQL, and PHP 7, offering a lightweight and efficient platform for managing websites and applications. With optimized performance, secure configurations, and easy scalability, it supports popular PHP frameworks like Laravel and Sym

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

The LEMP 5 MyRocks Stack is a pre-configured software bundle designed to facilitate the development and deployment of high-performance web applications. It integrates the Linux operating system, Nginx web server, MyRocks storage engine for MySQL, and PHP scripting language, providing a robust and efficient environment for developers. Key Features and Functionality: - Linux Operating System: Offers a stable and secure foundation for hosting web applications. - Nginx Web Server: Utilizes an even

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

Drupal 8 on LAPP 7 is a pre-configured, ready-to-run web application that combines Drupal 8, a robust and open-source content management system (CMS)), with the LAPP (Linux, Apache, PostgreSQL, PHP) stack. This integration offers a seamless environment for building and managing dynamic websites and applications, leveraging the latest PHP 7 for enhanced performance and security. Key Features and Functionality: - Drupal 8 CMS: Provides a flexible and scalable platform for content management, sui

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

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 on Ubuntu is a pre-configured Amazon Machine Image (AMI) designed to streamline the deployment of web applications by integrating the latest versions of Apache, MariaDB, and PHP 7 on an Ubuntu operating system. This AMI comes with all components pre-installed and updated with the latest OS and security patches, providing a secure and efficient environment for hosting PHP-based applications. Key Features and Functionality: - Pre-Installed Components: Includes Apac

The "Optimized LEMP Stack PHP 5 with Let's Encrypt" is a pre-configured software stack designed to facilitate the rapid deployment of secure, high-performance web applications. It integrates Linux, Nginx, MySQL, and PHP 5, complemented by automatic SSL certificate management through Let's Encrypt. This stack is tailored for developers and businesses seeking a reliable and efficient environment for hosting PHP-based websites and applications. Key Features and Functionality: - Pre-Configured Env

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

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 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

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

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

Supplier reconciliation ensures profits are maximised as it will identify missing credit notes, over-payments, miss-postings and potential duplicates. Being proactive will also speed up query resolution to increase early payment discount opportunities.

MXNet, an open-source deep learning framework, and Python, a high-level programming language for general-purpose programming

Theano, a numerical computation library for Python, and Python, a high-level programming language for general-purpose programming

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 "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