Total Products under this Category: 2,493
Last updated: September 15, 2026
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G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.
The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.
NVIDIA Run:ai is a Kubernetes-native platform designed to orchestrate AI workloads and optimize GPU resources. Tailored for machine learning and AI teams, it streamlines resource management, enhances GPU utilization, and accelerates development cycles. By dynamically allocating GPU resources and integrating seamlessly with leading MLOps tools and cloud environments, Run:ai ensures efficient and scalable AI operations. Key Features and Functionality: - Dynamic GPU Scheduling: Automatically allocates GPU resources based on workload demands, ensuring optimal utilization and minimizing idle time. - Fractional GPU Allocation: Enables multiple workloads to share a single GPU, allowing for efficient resource distribution and cost savings. - Automated Workload Orchestration: Manages the deployment and scaling of AI workloads, simplifying complex processes and reducing manual intervention. - Team-Based Resource Governance: Implements role-based access control and team-level quotas to ensure resource isolation, compliance, and visibility across AI teams. - Seamless Integration with AWS Services: Deploys alongside Amazon EKS and integrates with services like Amazon S3, CloudWatch, and IAM for a unified operational experience. - MLOps Workflow Compatibility: Supports tools such as JupyterHub, Kubeflow, and MLflow, facilitating end-to-end machine learning pipelines. Primary Value and Problem Solved: NVIDIA Run:ai addresses the challenge of efficiently managing and scaling AI workloads by optimizing GPU resource utilization. It eliminates the inefficiencies of static GPU allocation through dynamic scheduling and fractional sharing, leading to higher throughput and faster model development. By providing a centralized platform for resource management, Run:ai empowers organizations to accelerate AI initiatives, reduce operational costs, and maintain tight control over infrastructure, thereby driving innovation without the complexities of manual resource management.
NVIS AI is a next-generation Software Defined Perimeter solution designed to create secure, invisible networks within minutes. By eliminating the public attack surface, NVIS AI ensures that external threats cannot detect or exploit network resources, embodying the principle that "hackers can't hack what they can't see." Key Features and Functionality: - Zero Trust Network Access : Implements a Zero Trust architecture, ensuring that only authenticated and authorized users can access network resources. - Layer 2 Encryption: Provides end-to-end encryption at Layer 2, concealing the source, destination, and traffic from potential attackers. - AI-Driven Provisioning: Utilizes artificial intelligence to automate network configuration, allowing even non-technical users to deploy secure networks effortlessly. - Peer-to-Peer Connectivity: Establishes direct connections between resources, enhancing performance by reducing latency and eliminating routing delays. - Universal Compatibility: Supports a wide range of devices and platforms, including on-premises systems, cloud environments, operational technology , and edge devices. - No Public IP Exposure: Assigns proprietary NVIS IP addresses that mirror network topology without exposing real IP addresses, preventing tracking, blocking, or sniffing by unauthorized entities. - No Logging Policy: Maintains user privacy by not collecting or storing user data, thereby reducing the risk of data exploitation. Primary Value and Problem Solved: NVIS AI addresses the critical need for secure remote access by making networks invisible to external threats. Traditional VPNs often expose public IP addresses, creating potential vulnerabilities. In contrast, NVIS AI's stealth networking technology eliminates this exposure, effectively removing the public attack surface. This approach not only enhances security but also simplifies deployment, reduces operational costs, and improves performance, making it an ideal solution for businesses seeking robust and efficient network protection.
The OAuth2 Proxy Container Solution is a reverse proxy and static file server that provides authentication using various providers, such as Google and GitHub. It validates user accounts based on email, domain, or group, ensuring secure access to applications. Packaged by Bitnami, this solution is up-to-date, secure, and ready to deploy on Kubernetes environments. Key Features and Functionality: - Authentication Support: Integrates with multiple OAuth 2.0 providers, including Google and GitHub, to authenticate users. - Reverse Proxy Capabilities: Acts as a reverse proxy, forwarding client requests to backend servers while handling authentication. - Static File Serving: Serves static files directly, reducing the need for additional web servers. - Kubernetes Compatibility: Designed for seamless deployment on Kubernetes clusters using Helm charts. - Security and Updates: Regularly updated to address vulnerabilities and ensure compatibility with the latest software versions. Primary Value and User Solutions: This solution simplifies the implementation of authentication mechanisms for applications, allowing developers to secure their services without modifying existing codebases. By acting as an intermediary, it offloads authentication responsibilities, enabling applications to focus on core functionalities. Its compatibility with Kubernetes and Helm charts ensures easy deployment and scalability, making it ideal for modern cloud-native environments.
Detect objects on images using the state of the art Mask R-CNN
Observium is an autodiscovering, SNMP-based network monitoring platform designed to provide comprehensive insights into network health and performance. Supporting a wide array of network hardware and operating systems—including Cisco, Windows, Linux, HP, Dell, FreeBSD, Juniper, Brocade, Netscaler, and NetApp—Observium offers real-time data collection and visualization through an intuitive web interface. Its automatic discovery feature simplifies the monitoring process by identifying and integrating devices seamlessly, making it an efficient solution for network administrators seeking to maintain optimal network performance. Key Features and Functionality: - Automatic Device Discovery: Efficiently identifies and integrates network devices, reducing manual configuration efforts. - Comprehensive Device Support: Monitors a diverse range of devices, including routers, switches, servers, and more, across various manufacturers. - Real-Time Performance Monitoring: Collects and displays data on bandwidth utilization, CPU load, memory usage, and other critical metrics. - Graphical Data Representation: Provides detailed graphs and charts for easy analysis of network performance and trends. - Alerting and Notifications: Configurable alerts notify administrators of potential issues via email or other channels, enabling proactive management. - Historical Data Analysis: Stores performance data over time, allowing for trend analysis and capacity planning. - Integration Capabilities: Supports integration with third-party tools like collectd, munin, smokeping, and RANCID for enhanced functionality. Primary Value and Problem Solved: Observium enhances network visibility and management by automating device discovery and providing real-time monitoring of network performance. Its user-friendly interface and comprehensive feature set enable administrators to quickly identify and address issues, ensuring network reliability and efficiency. By supporting a wide range of devices and offering detailed performance insights, Observium simplifies the complexities of network monitoring, making it an invaluable tool for organizations aiming to maintain robust and secure network infrastructures.
Observium is a comprehensive network monitoring and management platform designed to support a wide array of operating systems and devices. It utilizes an auto-discovery feature that collects data from network devices using the Simple Network Management Protocol and stores it in a MySQL database. As a PHP-based platform, Observium offers an intuitive web interface, enabling users to efficiently monitor and manage their network infrastructure. Key Features and Functionality: - Auto-Discovery: Automatically identifies and maps network devices and their interconnections, simplifying the setup process. - User-Friendly Interface: Provides an easy-to-navigate web interface for quick access to critical network information. - SNMP Integration: Utilizes SNMP to gather detailed information from network devices, offering deep insights into network operations. Primary Value and Problem Solved: Observium enhances network visibility by automatically collecting and displaying information about services and protocols that might otherwise go unmonitored. This proactive approach allows organizations to maintain optimal network performance, quickly identify and resolve issues, and ensure the reliability of their network infrastructure.
Ocean Freight Visibility (OFV by Windward.ai is a decision-support platform designed for logistics operations experts, offering actionable insights into shipment milestones and accurate ETA predictions through proprietary AI models. It provides in-depth analysis of container ports and terminals worldwide, including congestion status and turnaround efficiency, enabling enhanced exception management and decision-making. Key Features and Functionality: - Automated Carrier Container Milestones: Provides geofenced Actual Time of Departure (ATD and Actual Time of Arrival (ATA timestamps for precise tracking. - AI-Predicted ETAs: Utilizes Maritime AI™ to deliver accurate estimated times of arrival, facilitating efficient planning and reducing fees. - Comprehensive Port Analysis: Offers detailed insights into global container ports and terminals, assessing congestion and operational efficiency. - Seamless Integration: Easily integrates with existing tools and workflows, including TMS, customer portals, and BI tools, through web applications, daily reports, APIs, or embedded tracking modules. Primary Value and User Solutions: OFV enhances operational efficiency by reducing costs associated with ocean freight and container tracking. It minimizes manual checks, saving time and resources, while improving internal and external customer satisfaction through increased transparency and reliability in supply chain management.
The Odoo 12 CE: aMiSTACX G4 LAPP is a pre-configured deployment solution designed to facilitate the rapid and efficient setup of Odoo 12 Community Edition on Amazon Web Services (AWS). This solution integrates essential components such as NGINX, Apache, PostgreSQL, and Python, providing a robust and scalable environment for businesses seeking to implement Odoo's comprehensive suite of business applications. Key Features and Functionality: - Pre-Configured Stack: Includes NGINX, Apache, PostgreSQL, and Python, ensuring a seamless deployment experience. - Reverse Proxy with HTTPS: Pre-configured reverse proxy settings with HTTPS support enhance security and performance. - Multi-Tenant Templates: Supports multi-tenant configurations, allowing businesses to manage multiple instances efficiently. - A51 Management Dashboard: Provides centralized management and monitoring of the Odoo environment. - Let's Encrypt Integration: Simplifies the process of obtaining and renewing SSL certificates for secure communications. Primary Value and Problem Solved: The Odoo 12 CE: aMiSTACX G4 LAPP solution addresses the complexities associated with deploying and managing Odoo on AWS. By offering a pre-configured, ready-to-use environment, it significantly reduces setup time and technical overhead, enabling businesses to focus on leveraging Odoo's capabilities for their operations. This streamlined deployment ensures enhanced performance, security, and scalability, making it an ideal choice for organizations aiming to implement a comprehensive business management solution without the typical challenges of manual configuration.
Odoo 12 CE: aMiSTACX G4 LEPP is a pre-configured deployment solution designed to streamline the setup of Odoo 12 Community Edition on Amazon Web Services (AWS). This solution integrates essential components such as NGINX, Apache, PostgreSQL, and Python, enabling businesses to efficiently manage various operations, including CRM, sales, project management, manufacturing, inventory, accounting, and human resources. By offering a ready-to-use environment, it significantly reduces the time and technical expertise required for deployment, allowing organizations to focus on their core activities. Key Features and Functionality: - Integrated Software Stack: Combines NGINX, Apache, PostgreSQL, and Python to provide a robust and scalable environment for Odoo 12 Community Edition. - Pre-Configured Deployment: Offers a turnkey solution that minimizes setup time, enabling businesses to get Odoo up and running quickly. - Comprehensive Business Applications: Supports a wide range of business functions, including CRM, sales, project management, manufacturing, inventory management, accounting, and HR management. - Scalability: Designed to accommodate businesses of all sizes, from small startups to large enterprises, with the flexibility to scale as needed. Primary Value and Problem Solved: Odoo 12 CE: aMiSTACX G4 LEPP addresses the challenge of deploying a comprehensive business management system by providing a pre-configured, easy-to-deploy solution on AWS. This reduces the complexity and time associated with setting up Odoo, allowing businesses to focus on optimizing their operations and driving growth without the need for extensive technical resources.
Odoo is the world's easiest all-in-one business management software. In consists of CRM, e-Commerce, Accounting, Inventory, PoS, Project management, MRP and etc.
This product has charges associated with it for seller support. Odoo is an all in one suit for business applications including CRM, Sales, Warehouse Management, Project Management, Financial Management and Human Resource Management
This is a repackaged open-source software product wherein additional charges apply for the pre-configured stack which includes Nginx, PostgreSQL, Webmin, and Scripts which make it easy for you to use Odoo. We have Webmin for file transfer, and Scripts for the password, backup, and update management.
Okkular's Tag-Gen helps retailers in Fashion and Furniture by creating a seamless merchandising process, enabling efficient product discovery and online product onboarding. The Okkular Tag-Gen solution helps automate the product tagging process using state of the art deep learning technology. Our solution suggests relevant tags based on your brand's product images.
