Best AWS Marketplace Software - Page 45

AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production

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 instances. Key Features and Functionality: - Pre-Configured Environment: Combines TensorFlow 1.10, Python 3.6, and CUDA 9.2, reducing setup time and potential configuration errors. - High-Performance Computing: Optimized for Amazon EC2 instances, particularly C5 and P3 types, to accelerate deep learning workloads. - Scalability: Supports distributed training across multiple GPUs, facilitating the development of complex models. - Compatibility: Ensures seamless integration with AWS services and tools, enhancing the overall development experience. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up a deep learning environment by providing a fully configured and optimized platform. Users can focus on developing and deploying machine learning models without the overhead of managing dependencies and configurations. The integration of TensorFlow 1.10 with CUDA 9.2 ensures compatibility with NVIDIA GPUs, enabling efficient utilization of hardware resources for accelerated training and inference processes.

AISE TensorFlow 1.7 Python 3.6 CPU Notebook

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 Features and Functionality: - TensorFlow 1.7 Integration: Leverage the capabilities of TensorFlow 1.7 for building and training machine learning models. - Python 3.6 Support: Utilize Python 3.6, offering a robust and versatile programming language for data science tasks. - Jupyter Notebook Interface: Access a user-friendly, interactive environment for coding, visualization, and documentation. - CPU Optimization: The environment is tailored for high-performance execution on CPU architectures, ensuring efficient model training and inference without the need for specialized hardware. - Development Tools: Includes essential development tools such as C compilers and build utilities, facilitating seamless program development and deployment. Primary Value and User Solutions: This notebook environment addresses the challenges of setting up and configuring machine learning frameworks by providing a ready-to-use platform. Users can focus on developing and experimenting with machine learning models without the overhead of environment setup. Its CPU optimization ensures accessibility for users without GPU resources, making it suitable for a wide range of applications, from educational purposes to professional development and deployment of machine learning solutions.

AISE TensorFlow 1.8 Python 2.7 CUDA 9.1 Production

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: - Pre-configured Environment: The stack includes TensorFlow 1.8, Python 2.7, and CUDA 9.1, eliminating the need for manual installation and configuration. - GPU Optimization: Designed to leverage NVIDIA GPUs, it ensures high-performance execution of machine learning tasks. - Production-Ready: Provides a stable and tested environment suitable for both short and long-running tasks, including training, inference, and API services. - Integration Capabilities: Easily integrates into continuous integration and deployment workflows, facilitating streamlined development and deployment processes. Primary Value and Problem Solved: This product addresses the complexities associated with setting up a machine learning environment by offering a ready-to-use, optimized stack. Users can focus on developing and deploying machine learning models without the overhead of configuring and maintaining the underlying infrastructure. The integration with NVIDIA GPUs ensures efficient processing, making it suitable for high-performance tasks in production settings.

Aitium

Aitium is an AI-powered sales intelligence and inventory planning platform designed exclusively for Amazon Business sellers. Launched by GAIIFF, it helps manufacturers, wholesalers, and B2B e-commerce businesses maximize sales by providing corporate customer analytics, AI-driven inventory forecasting, and global marketplace insights across 23 Amazon Business regions. Aitium enables sellers to target high-value B2B customers, optimize listings for higher conversions, and scale internationally with confidence, all while reducing stockouts and excess inventory. Available via AWS Marketplace or aitium.gaiiff.com, Aitium delivers AWS-validated, market-specific tools to drive B2B growth and long-term customer retention. Learn more at aitium.gaiiff.com.

aiVideo - OTT video at wire speeds with zero errors

aiVideo is a dynamic caching engine designed to scale HTTP video platforms, enabling live video streaming acceleration at scale. By leveraging dynamic caching, aiVideo allows caching servers to handle 3 to 10 times the number of requests compared to traditional video servers, ensuring error-free streaming. This efficiency enables the construction of a minimal origin server environment, with the caching engine managing scalability. aiVideo servers can be strategically placed near end-users, updating the cache from a single origin, and have been independently tested to operate at multiple gigabits per second with zero errors. Additionally, aiVideo offers DDoS protection and automatic failover to alternate video streams. Deployment is straightforward using Azure instances, with setup possible in minutes, and billing is based solely on usage, with no minimums or long-term commitments. Key Features and Functionality: - Dynamic Caching: Enhances live video streaming by handling significantly more requests than traditional servers. - Scalability: Supports the creation of a minimal origin server environment, with the caching engine managing scalability. - Geographical Deployment: Servers can be placed close to end-users, updating the cache from a single origin. - High Performance: Independently tested to operate at multiple gigabits per second with zero errors. - Security and Reliability: Provides DDoS protection and automatic failover to alternate video streams. - Easy Deployment: Deployable using Azure instances, with setup possible in minutes. - Flexible Billing: Charges based on time used, with no minimums or term commitments. Primary Value and User Solutions: aiVideo addresses the challenges of scaling HTTP video platforms by significantly increasing the number of requests that can be handled without errors, thereby enhancing live video streaming performance. Its dynamic caching capabilities allow for a lean origin server setup, reducing infrastructure costs. The ability to deploy servers near end-users ensures low-latency streaming experiences. With built-in DDoS protection and automatic failover, aiVideo enhances the reliability and security of video streaming services. Its easy deployment on Azure and flexible billing model make it an accessible and cost-effective solution for businesses seeking to optimize their video delivery infrastructure.

Ajenti 1.2.23 Ubuntu Server

Ajenti 1.2.23 Ubuntu Server is a pre-configured Amazon Machine Image (AMI) designed to provide a robust and user-friendly server management experience. Built upon Ubuntu Bionic Beaver, this AMI integrates Ajenti 1.2.23, a versatile web-based control panel, along with Ajenti V for streamlined virtual hosting management. The system is optimized with NGINX, PHP 7, and MySQL Server, ensuring a comprehensive environment for deploying and managing web applications. Key Features and Functionality: - Ajenti Control Panel: Offers an intuitive web interface for server administration, including system monitoring, network configuration, and service management. - Ajenti V Plugin: Facilitates simplified configuration of application servers, databases, and routing, supporting technologies such as PHP (PHP-FPM, Python (WSGI, Ruby (Puma and Unicorn, and Node.js. - Optimized Software Stack: Pre-installed with NGINX for efficient web serving, PHP 7 for dynamic content processing, and MySQL Server for reliable database management. - Security and Performance: Incorporates SSL with client certificate authentication, session sandboxing, and a lightweight footprint with over 1000 requests per second capability. Primary Value and User Solutions: Ajenti 1.2.23 Ubuntu Server addresses the complexities of server management by providing a cohesive and user-friendly platform. It enables administrators to efficiently configure and monitor servers, manage virtual hosts, and deploy applications across various technologies. The integration of Ajenti V simplifies the setup of web environments, reducing the time and effort required for deployment. This AMI is particularly beneficial for users seeking a secure, performance-optimized, and easily manageable server solution on AWS.

AJUA - CX & VoC Platform for Real-Time Customer Insights

AJUA is a comprehensive Voice of Customer (VoC) and Customer Experience (CX) platform designed to help businesses capture, analyze, and act on real-time customer feedback. By facilitating multi-channel survey distribution through SMS, email, WhatsApp, and web interfaces, AJUA enables organizations to monitor key CX metrics such as Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Customer Effort Score (CES). The platform's Insight Studio offers dynamic analytics dashboards that visualize customer feedback trends, engagement metrics, and sentiment analysis in real time, empowering teams to make informed, data-driven decisions that enhance customer satisfaction and retention. Key Features and Functionality: - Insight Studio: Provides real-time visualization of essential CX metrics like NPS, CSAT, and sentiment analysis, transforming customer feedback into actionable insights. - Participant History: Offers a comprehensive timeline of customer interactions and feedback, enabling businesses to track satisfaction trends and tailor experiences to individual customer needs. - Multi-Channel Survey Distribution: Allows for the deployment of surveys across various channels, including SMS, email, WhatsApp, and web, ensuring high response rates and diverse customer insights. Primary Value and Problem Solved: AJUA addresses the challenge of effectively capturing and utilizing customer feedback by providing a unified platform that integrates multi-channel survey distribution with advanced analytics. This integration enables businesses to gain a holistic understanding of customer experiences, identify areas for improvement, and implement strategies that drive customer satisfaction and loyalty. By transforming raw feedback into actionable insights, AJUA empowers organizations to make data-driven decisions that enhance customer engagement and foster long-term business growth.

Alation Traceability Connector

The Alation Traceability Connector, developed by Information Asset, LLC, enhances the Alation Data Intelligence Platform by providing detailed, column-level data lineage. This solution integrates various data objects within Alation into an interconnected graph, offering a comprehensive view of data relationships and flows. By representing business intelligence servers , data sources , articles, and tags within this graph, the connector facilitates a deeper understanding of data origins and transformations. Key Features and Functionality: - Detailed Data Lineage: Provides column-level lineage, enabling users to trace data flow and transformations across the organization. - Graph-Based Representation: Integrates various data objects into an interconnected graph, illustrating relationships between business intelligence servers, data sources, articles, and tags. - Enhanced Data Governance: Supports data governance initiatives by offering clear insights into data origins, usage, and dependencies. Primary Value and User Benefits: The Alation Traceability Connector addresses the challenge of understanding complex data ecosystems by offering a visual and detailed representation of data lineage. This clarity empowers organizations to ensure data accuracy, comply with regulatory requirements, and make informed decisions based on trusted data. By integrating seamlessly with the Alation Data Intelligence Platform, the connector enhances data governance and fosters a data-driven culture within the organization.

AlexNet

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

AliSQL

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 processing model to improve connection handling and optimize concurrency for various operations, ensuring consistent high performance under heavy loads. - Statement Outline: Utilizes optimizer and index hints to stabilize SQL execution plans, preventing performance degradation due to data changes, index modifications, or parameter adjustments. - Fast Query Cache: Redesigns the native MySQL query cache to enhance concurrency control, memory management, and caching mechanisms, significantly boosting query performance. - Binlog in Redo: Synchronizes binary log content with redo logs during transaction commits, reducing disk I/O operations and improving overall database performance. - Faster DDL: Optimizes buffer pool management strategies to minimize lock contention during Data Definition Language operations, allowing schema changes to be performed efficiently even under high business pressure. - Async File Purge: Introduces asynchronous file cleanup tasks for large file deletions, preventing file system locks and ensuring uninterrupted database operations. - Slow Log Rotate: Implements a mechanism to rotate slow query logs based on time or file size, facilitating maintenance without requiring database restarts. - SQL Outline: Extends SQL hints to persist execution paths, ensuring stable execution plans across database upgrades, index changes, and statistical information updates. Primary Value and Problem Solving: AliSQL addresses the challenges faced by large enterprises in managing high-volume, high-concurrency transactional workloads. By enhancing MySQL with enterprise-level features and optimizations, AliSQL provides a robust, efficient, and secure database solution that supports seamless scalability and reliable performance. Its advanced capabilities, such as improved connection handling, optimized query execution, and efficient schema management, empower businesses to maintain database stability and performance, even during peak operational periods.

Allegro AI Trains server

ClearML is the leading open source, end-to-end solution for unleashing AI in the enterprise, trusted by leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide.

Average Rating: 4.0/5.0

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AlmaLinux 8.3 with support by ProComputers

AlmaLinux 8.3 image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the Alma Linux 8 security updates available at the release date are included.

AlmaLinux 8.4 with support by ProComputers

In this AlmaLinux 8 AMI, root partition and filesystem extends automatically during boot if instance volume is bigger than the default 8 GiB one. This is a ready to use minimal AlmaLinux 8.4 image, mainly used as a common base system on top of which other appliances could be built and tested.

AlmaLinux 8 Latest with support by ProComputers

This is a ready to use minimal AlmaLinux 8 image that is automatically updated at launch with latest security patches making sure you are always running the most secure version available.

Almalinux 8 Minimal with 24x7 deployment support

AlmaLinux 8 Minimal image that has been built with a minimal profile. This image contains minimal set of packages needed for installing a working system on AWS