Products

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,

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

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

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-

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 LEMP 7 MyRocks Stack is a pre-configured runtime environment designed for PHP applications, integrating a LEMP stack optimized for web-specific tasks. This stack includes Nginx as the web server, PHP 7 operating in `php-fpm` mode, and MyRocks—a MySQL variant utilizing the RocksDB storage engine. By replacing Apache with the lightweight yet powerful Nginx, this stack offers enhanced performance and efficiency for dynamic web applications. Key Features and Functionality: - Nginx Web Server:

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

GazeSense is a 3D eye tracking software that provides real-time gaze coding without the need to wear glasses and tracking the eye-gaze in 3D. Using off the shelf depth-sensing cameras, it allows you to track multiple subjects, label objects of interest in the open space and track attention towards them in real-time.

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 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 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 "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 "Optimized LEMP Stack PHP 7 with Let's Encrypt" is a pre-configured and performance-tuned software stack designed for deploying high-performance web applications. It integrates Linux, Nginx, MySQL, and PHP 7, providing a robust environment for developers. This stack includes automatic SSL certificate configuration through Let's Encrypt, ensuring secure HTTPS connections. Additionally, it comes with phpMyAdmin for database management and Composer for dependency management, streamlining the de

The "Caffe Python 2.7 NVidia GPU Production" is a pre-configured Amazon Machine Image (AMI) designed to facilitate the development and deployment of deep learning applications using the Caffe framework. This AMI integrates Python 2.7 and is optimized for NVIDIA GPU acceleration, providing a robust environment for training and deploying convolutional neural networks (CNNs and other deep learning models. Key Features and Functionality: - Pre-Installed Caffe Framework: Offers a ready-to-use setup

The Optimized LAMP Stack PHP 7 on Debian is a pre-configured and performance-tuned environment designed for deploying web applications. It integrates the latest PHP 7 version with the traditional LAMP components—Linux, Apache, MySQL (MariaDB, and PHP—on a Debian operating system. This setup ensures a secure, efficient, and ready-to-use platform for developers and businesses aiming to host robust web applications. Key Features and Functionality: - PHP 7 Integration: Leverages PHP 7's enhanced p

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 "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

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