Products

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

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

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

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 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 RAMP (Ruby, Apache, MySQL, Passenger stack is a pre-configured environment designed to streamline the deployment of Ruby on Rails applications on AWS. By integrating essential components—Ruby for application logic, Apache as the web server, MySQL for database management, and Passenger for efficient application serving—RAMP offers a cohesive solution that reduces setup complexity and accelerates development cycles. Key Features and Functionality: - Pre-Configured Environment: RAMP comes wit

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

TensorFlow, an open source software library for machine learning, and Python, a high-level programming language for general-purpose programming

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

Dragonfly is a robust and flexible plugin designed to seamlessly integrate SmartBear's ReadyAPI with HP ALM (Application Lifecycle Management. This integration streamlines the testing process by enabling efficient synchronization between API testing and test management tools, thereby enhancing productivity and ensuring real-time updates. Key Features and Functionality: - One-Click Sync: Effortlessly export test suites and test cases from ReadyAPI to HP ALM's Test Plan with a single action, eli

The Collaborative Channel Commerce (C3) Software-as-a-Service solution mitigates channel conflict, guarantee complete brand control, and enhance the relationship between manufacturers, distributors, retailers, sales associates and the end user.

Greenpen is the Virtual Learning Management System that creates and manages all learning activities, whether it's building online classes, assessing students, enhancing collaboration, or tracking achievement. It is a flexible and user-friendly platform for both teachers and students. Here, we have integrated ZOOM/Big Blue Button/GoTo Meeting/Greenpen Live to this platform for virtual classes to make students feel comfortable like being in a real-time class. We design Greenpen with the most int

Vizaline LLC is a customer-centric company built upon the foundation of: humility, respect, sincerity, service, and trusted relationships. It was formed by a retired, 45 year-experienced, mortgage bank executive whose simple mission was to help his fellow buddies, banks, and borrowers, so they wouldn’t have to suffer the stress and loss that he had experienced earlier in his career. Our purpose is to proactively protect people providing a priceless peace of mind. Our Tagline is “Helping Banker

Beamprobe is a modern UK virtual data room built for founders, M&A advisors, accountants, and solicitors who need investor-grade document sharing without enterprise procurement friction. iDeals charges around £460 a month. Datasite around £750. Firmex sits in the same enterprise bracket. Beamprobe Pro is £29 a month, same NDA gate, same audit trail, same UK data residency, no sales calls. CORE CAPABILITIES Encryption and data residency - AES-256 envelope encryption. Each file encrypted w