Best AWS Marketplace Software - Page 111

NeoPulse AI Studio CPU

NeoPulse AI Studio CPU is a server-based application designed to simplify and accelerate the development of custom artificial intelligence models. It empowers organizations to create sophisticated AI solutions without requiring in-depth machine learning expertise, thereby reducing development time and costs. By leveraging an intuitive domain-specific language, NeoPulse AI Studio automates the AI model creation process, making AI accessible to businesses of all sizes. Key Features and Functionality: - NeoPulse Modeling Language : An intuitive domain-specific language that automates the creation of AI models, enabling developers to accomplish in dozens of lines of code what would typically require hundreds in conventional languages. - Automated Model Creation: Utilizes a robust AI, referred to as "the oracle," to automate the selection of optimal machine learning architectures and hyperparameters, streamlining the model development process. - Versatile Data Handling: Supports various data types, including video, audio, images, and text, allowing for the development of diverse AI applications. - Portable Inference Models : Generates containerized AI models that can be deployed across different environments, whether on-premise or in the cloud, ensuring flexibility and scalability. - NeoPulse Query Runtime : Provides a simple program that allows any application to access the AI models using web-based REST APIs. Primary Value and User Solutions: NeoPulse AI Studio CPU addresses the challenge of developing custom AI models by automating complex processes and reducing the need for specialized machine learning expertise. This democratization of AI development enables organizations to rapidly deploy AI solutions tailored to their specific needs, enhancing operational efficiency and fostering innovation. By simplifying the AI model creation process, NeoPulse AI Studio allows businesses to focus on leveraging AI insights to drive strategic decisions and gain a competitive edge.

NeoPulse® Framework CPU

NeoPulse® Framework CPU is an automated artificial intelligence platform designed to streamline the development, deployment, and management of AI models across diverse environments, including cloud, on-premises, and edge devices. It enables developers to build sophisticated AI solutions with minimal coding, reducing development time and costs. Key Features and Functionality: - Automated Model Creation: Utilizes a powerful AI engine to automatically generate and optimize AI models, minimizing the need for extensive human intervention. - Versatile Deployment Options: Supports deployment across various platforms, including cloud services, on-premise infrastructure, and edge devices, ensuring flexibility and scalability. - Comprehensive AI Management: Provides tools for managing AI assets, facilitating model curation, deployment, and monitoring from a unified interface. - Broad Data Compatibility: Handles a wide range of data types, including text, images, video, audio, and vectors, enabling diverse AI applications. Primary Value and User Solutions: NeoPulse® Framework CPU addresses the challenges of AI model development by automating complex processes, thereby reducing the time, effort, and expertise required to build and deploy AI solutions. This empowers organizations to integrate AI capabilities into their operations efficiently, enhancing decision-making and innovation without necessitating extensive in-house machine learning expertise.

NeoPulse® Framework GPU

NeoPulse® Framework GPU is an advanced AI platform designed to streamline the entire machine learning lifecycle for organizations of all sizes. By integrating data engineering, model development, and deployment into a unified environment, NeoPulse enables teams—including DevOps, data engineers, and machine learning engineers—to collaborate seamlessly without the need for multiple disparate tools. This cohesive approach accelerates the creation and deployment of AI models, making sophisticated machine learning accessible and efficient. Key Features and Functionality: - Data Engineering: Facilitates the preparation of training datasets, data annotation, anomaly detection, and maintains a record of datasets used for model training. - AI Development & Engineering: Offers low-code/no-code machine learning model development, integration of third-party AI models, automated retraining, a visual interface, and performance baselining for AI models. - AI Deployment & Management: Provides tools to organize machines, devices, datasets, applications, and models; supports drag-and-drop deployment; enables production monitoring and A/B testing; offers role-based control of assets and resources; and allows deployment across edge, on-premise, cloud, or hybrid environments. - AI Governance: Ensures digital rights management, provenance tracking, and data source integrity. - Scalability: Supports the deployment of models across hundreds of systems, ensuring efficient scaling to meet organizational needs. Primary Value and User Solutions: NeoPulse® Framework GPU addresses the complexities of AI development by providing an end-to-end automated platform that simplifies the machine learning process. It empowers organizations to manage their entire AI workflow from a single interface, reducing the need for specialized expertise and multiple tools. By automating tasks such as data preparation, model training, and deployment, NeoPulse accelerates the development of AI solutions, enabling businesses to implement and scale AI initiatives more effectively and cost-efficiently. This comprehensive approach ensures that companies can focus on deriving actionable insights and value from their data without being hindered by the technical challenges traditionally associated with AI development.

NeoPulse Query Runtime

NeoPulse Query Runtime is a lightweight program that enables applications to access AI models created with NeoPulse AI Studio through web-based REST APIs. It facilitates the deployment of Portable Inference Models across various environments, including on-premise and cloud infrastructures, allowing seamless integration of AI capabilities into existing systems. Key Features and Functionality: - Model Deployment: Deploy AI models trained with NeoPulse AI Studio into production environments efficiently. - RESTful API Access: Provides a simple RESTful API for querying AI models, enabling easy integration with other applications. - Cross-Platform Support: Supports deployment across different systems, whether on-premise or in the cloud. - Lightweight Framework: Contains a subset of the NeoPulse AI Studio framework, ensuring minimal resource usage while maintaining functionality. Primary Value and Problem Solved: NeoPulse Query Runtime simplifies the process of integrating AI models into production environments by providing a standardized and efficient method for querying models via RESTful APIs. This reduces the complexity and time required for deployment, allowing organizations to leverage AI capabilities without extensive machine learning expertise. By supporting cross-platform deployment, NPQR ensures that AI models can be utilized across various infrastructures, enhancing scalability and flexibility.

NeoPulse Query Runtime CPU

NeoPulse Query Runtime CPU is a lightweight program that enables applications to access AI models developed with NeoPulse AI Studio through a web-based RESTful API. Designed for CPU environments, it facilitates seamless integration of AI capabilities into enterprise applications without the need for extensive infrastructure. Key Features and Functionality: - RESTful API Access: Provides a web-based interface for querying AI models, ensuring easy integration with existing applications. - Lightweight Deployment: Optimized for CPU usage, allowing efficient operation without the need for GPU resources. - Seamless Integration: Enables applications to interact with AI models developed in NeoPulse AI Studio, streamlining the deployment process. Primary Value and User Solutions: NeoPulse Query Runtime CPU simplifies the deployment of AI models by offering a straightforward, CPU-optimized runtime environment. It allows organizations to integrate AI functionalities into their applications without significant infrastructure investments, making AI adoption more accessible and cost-effective. This solution addresses the challenge of deploying AI models in environments where GPU resources are limited or unavailable, ensuring that businesses can leverage AI capabilities efficiently.

NeoPulse Query Runtime GPU

NeoPulse Query Runtime GPU is a lightweight program designed to deploy and manage AI models created with NeoPulse AI Studio. It enables seamless integration of these models into production environments, allowing applications to access them via a simple RESTful API, command-line interface , or graphical user interface . Key Features and Functionality: - Model Deployment: Facilitates the deployment of AI models trained with NeoPulse AI Studio into various production settings. - Flexible Query Interfaces: Provides multiple interfaces—RESTful API, CLI, and GUI—for querying deployed models, catering to diverse application requirements. - Lightweight Architecture: Offers a streamlined subset of the NeoPulse framework, ensuring efficient performance in production environments. Primary Value and User Solutions: NPQR addresses the challenge of integrating AI models into operational workflows by offering a straightforward and efficient deployment solution. It simplifies the process of making AI models accessible to applications, reducing the complexity and time associated with traditional deployment methods. This enables organizations to rapidly implement AI solutions, enhancing productivity and accelerating time-to-market for AI-driven applications.

NetApp Cloud Data Services Starter Pack

As AWS Advanced Consulting Partner and NetApp Star Partner, Netcloud is uniquely qualified to help you manage and protect your data in the cloud.

NetFlow Optimizer

NetFlow Logic makes network telemetry actionable inside the security and IT operations tools you already use — Splunk, Microsoft Sentinel, CrowdStrike, Datadog, and more. Its core product, NetFlow Optimizer™ (NFO), is a software-only processing engine that sits between your network infrastructure and your downstream platforms. NFO ingests raw flow data (NetFlow, IPFIX, sFlow, J-Flow) and cloud flow logs (AWS, Azure, GCP, OCI), then deduplicates, aggregates, and enriches every record before forwarding it — reducing volume by up to 90% while adding user identity, application context, threat intelligence, GeoIP, and hostname resolution to each flow. The result: your SIEM receives network telemetry it can actually use. Named users instead of IP addresses. Application names instead of port numbers. Threat-flagged flows instead of raw connections. And at a volume that doesn't break your ingest budget. What NFO enables: * Full network visibility inside Splunk and Microsoft Sentinel, with CIM- and ASIM-compliant output that works with existing detection rules and dashboards * Lateral movement, exfiltration, and C2 beaconing detection from network flow data * Compliance evidence for CMMC, NIST, and FISMA from user-attributed network records * Zero-touch device discovery and SNMP monitoring across your entire infrastructure estate Organizations with existing NetFlow infrastructure are typically ingesting enriched data into their SIEM in under an hour.

Netgate TNSR vRouter (Edge / Access / VPN)

Netgate TNSR is a high-speed (exceeding 100 Gbps) virtual router and VPN aggregator. TNSR is the answer for businesses, governments, and xSPs looking for scalable routing without the six-figure price tag. Businesses can deploy TNSR as a Netgate hardware appliance, Bare Metal Image, or as a virtual appliance on KVM, Amazon Web Services and Microsoft Azure. TNSR combines the FD.io Vector Packet Processor (VPP), a fast, scalable layer 2-4 network stack, with a RESTCONF API, as well as a CLI and GUI for configuration and monitoring. The result is a product which delivers high performance in mission-critical site-to-site, edge-to-cloud, data center, and VPN scenarios. This product is complemented by Netgate’s 24x365 Technical Assistance Center, which stands ready to support your critical business requirements every day.

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Netropy Cloud Edition Network Emulator

Netropy Cloud Edition is a network emulator designed to replicate complex, real-world network conditions within cloud environments. By simulating various network impairments such as bandwidth limitations, latency, and packet loss, NetropyCE enables organizations to test and optimize application performance, ensuring a seamless user experience under diverse network scenarios. Key Features and Functionality: - Scalability: Deploy global test networks with multiple instances within a single Virtual Private Cloud . - Multiple Link Simulation: Emulate up to 20 separate Wide Area Network links per instance. - Bandwidth Emulation: Precisely simulate links up to 1 Gbps, with future support for 20 Gbps. - Latency and Jitter: Introduce delays and jitter up to 10 seconds or more in each direction, adjustable in 0.01 ms increments. - Packet Loss and Corruption: Configure random, burst, or periodic packet loss to assess the impact on applications, particularly voice and video services. - Packet Filtering: Assign packets to different links based on IP address, VLAN, or other identifiers. - Background Utilization: Test application performance under congested network conditions using background utilization and PCAP replay features. - Traffic Monitoring: View and download up to 24 hours of throughput graphs and link statistics. - Automation: Automate testing processes with a comprehensive RESTful API. Primary Value and Problem Solved: NetropyCE addresses the challenge of ensuring application reliability and performance across diverse network conditions. By providing a controlled, repeatable environment to simulate real-world network impairments, it allows organizations to: - De-risk Deployments: Identify and mitigate potential performance issues before deploying applications, reducing the risk of costly post-deployment fixes. - Optimize Performance: Fine-tune applications to perform optimally under various network scenarios, enhancing end-user satisfaction. - Cost Efficiency: Conduct comprehensive testing within a single AWS region or VPC, minimizing expenses associated with inter-region data transfer and infrastructure. By integrating NetropyCE into their testing workflows, organizations can confidently deploy applications that are resilient and performant, regardless of network conditions.

Netropy Cloud Edition Network Emulator (BYOL)

Netropy Cloud Edition is a network emulator designed to replicate complex, real-world networks within the AWS cloud environment. It enables users to swiftly and affordably simulate various network conditions—such as those found in 5G, Wi-Fi, Satellite, and SD-WAN networks—to test and optimize application performance before deployment. By introducing impairments like bandwidth constraints, latency, and packet loss, NetropyCE ensures applications deliver a flawless user experience under any network condition. Key Features and Functionality: - Rapid Deployment: Quickly establish complex network scenarios within minutes, creating a global test lab in a single Virtual Private Cloud . - Comprehensive Network Simulation: Emulate up to 20 separate Wide Area Network links per instance, with precise control over bandwidth , latency , and packet loss. - Automation and Integration: Easily automate and configure tests using a fully RESTful API, facilitating seamless integration into existing workflows. - Advanced Impairment Capabilities: Introduce various network impairments, including bandwidth limitations, latency, jitter, packet loss, and corruption, to accurately replicate real-world network conditions. - Traffic Monitoring: Monitor and analyze network performance with up to 24 hours of throughput graphs and link statistics, aiding in comprehensive performance evaluation. Primary Value and Problem Solved: NetropyCE addresses the critical need for pre-production testing of applications under diverse network conditions. By enabling controlled, repeatable simulations of complex networks, it helps organizations de-risk major projects such as data center consolidations, new technology rollouts, cloud migrations, IoT deployments, video streaming services, and disaster recovery plans. This proactive approach ensures that applications perform optimally, delivering a consistent and reliable user experience regardless of network variability.

Netskope Data Security Posture Management (DSPM)

Netskope Data Security Posture Management (DSPM) is a cloud-native solution designed to provide continuous, real-time visibility and control over sensitive data across cloud and on-premises environments. By automatically discovering, classifying, and securing structured, semi-structured, and unstructured data, Netskope DSPM empowers organizations to enforce safe AI practices, reduce compliance risks, and maintain robust data protection at scale. Key Features and Functionality: - Comprehensive Visibility: Offers a full view of data across all environments, enabling proactive governance. - Proactive Risk Management: Identifies misconfigurations and vulnerabilities to strengthen security posture. - Automated Compliance: Aligns policies with standards like GDPR and HIPAA, simplifying audits and compliance. - Reduced Attack Surface: Limits risk by controlling data access and managing interactions across your infrastructure. - Real-Time Risk Indicators: Provides instant insights into data security posture, highlighting critical risks across data stores, user access, and interactions. - Unified Dashboard: Offers a single console view for sensitive data across environments, supporting efficient governance. - Automated Classification and Tagging: Continuously scans and categorizes data, facilitating easier management and control of sensitive information. - Contextualized Data Analysis: Provides advanced insights on data access patterns, usage anomalies, and exfiltration risks, enabling swift responses. - Seamless Integration with Netskope One SSE: Integrates with DLP, CASB, and other components, ensuring consistent, end-to-end data protection across the enterprise. Primary Value and Problem Solved: Netskope DSPM addresses the challenges of data sprawl, misconfigurations, and unauthorized access by providing continuous, automated discovery and classification of sensitive data. It enables organizations to enforce data protection policies, detect shadow and unmanaged data services, and prioritize remediation efforts. By offering real-time insights and a unified dashboard, Netskope DSPM helps security teams prevent data leaks, enforce safe AI usage policies, and maintain compliance with regulatory standards, thereby reducing the risk of data breaches and ensuring robust data security across the enterprise.

Network Capacity Planner

The Network Capacity Planner is a cloud-based AI-driven service designed to assist telecommunications providers in optimizing their network infrastructure investments. By leveraging AWS machine learning algorithms, it processes diverse datasets—including satellite imagery, demographics, current tower locations, and cash flow data—to deliver actionable insights that inform strategic deployment decisions. This approach aims to enhance network performance, maximize return on investment (ROI, and bolster confidence in data-driven decision-making. Key Features and Functionality: - Comprehensive Data Analysis: Utilizes AWS Bedrock's generative AI and SageMaker's machine learning models to analyze coverage patterns, forecast demand, and optimize connection paths. - Geospatial and Financial Modeling: Processes terrain and population data for geospatial analytics and conducts financial modeling to prioritize high-return investments. - Strategic Planning Tools: Offers investment prioritization frameworks, detailed deployment sequence planning, risk assessment matrices, and scalability roadmaps. - Implementation Support: Provides detailed rollout roadmaps, AWS architecture recommendations, knowledge transfer, and performance monitoring frameworks. Primary Value and User Solutions: The Network Capacity Planner empowers telecommunications decision-makers to balance immediate operational needs with long-term strategic objectives. By processing complex datasets at scale, it delivers optimized network designs, improved ROI, and greater confidence in resource allocation decisions. This service enables providers to make informed, data-driven choices that enhance network efficiency and profitability.

Network Configuration Manager - Professional Edition - 10 Devices

ManageEngine's Network Configuration Manager (NCM Professional Edition is a comprehensive solution designed to manage network configurations, changes, and compliance across various devices, including switches, routers, and firewalls. Tailored for networks with up to 10 devices, this edition automates the entire device configuration management lifecycle, providing centralized control and oversight. Key Features and Functionality: - Configuration Backup: Automates the backup of startup and running configurations, ensuring data integrity and quick recovery in case of failures. - Configuration Automation: Utilizes Configlets to automate repetitive network operations, allowing centralized application of configuration changes across multiple devices. - Real-time Change Detection: Monitors devices for configuration changes in real-time, providing instant notifications and preventing unauthorized modifications. - Compliance Auditing: Ensures adherence to industry standards such as PCI, HIPAA, and SOX by auditing device configurations and alerting users to any violations. - Detailed Reporting: Generates comprehensive reports on inventory, configuration changes, compliance status, and user activities, offering valuable insights into network health. Primary Value and User Benefits: Network Configuration Manager addresses the challenges of managing network configurations by automating routine tasks, enhancing security through real-time change monitoring, and ensuring compliance with industry standards. By providing centralized control over device configurations, it reduces the risk of network downtime, improves operational efficiency, and simplifies the management of network infrastructures, particularly for small to medium-sized networks.

Network Configuration Manager - Professional Edition - 50 devices

ManageEngine's Network Configuration Manager (NCM Professional Edition is a comprehensive solution designed to manage network configurations, changes, and compliance across various devices, including routers, switches, and firewalls. Tailored for networks with up to 50 devices, this edition automates the entire device configuration management lifecycle, ensuring efficient and secure network operations. Key Features and Functionality: - Configuration Backup: Securely back up device configurations to prevent data loss and facilitate quick recovery. - Network Automation: Utilize Configlets to automate routine network operations, reducing manual effort and minimizing errors. - Real-time Change Detection: Monitor and detect configuration changes in real-time to maintain network integrity. - Change Notifications and Rollback: Receive instant notifications of configuration changes and implement rollback mechanisms to revert unauthorized modifications. - Compliance Management: Ensure adherence to industry standards by auditing configurations and generating compliance reports. - Detailed Reporting: Access comprehensive reports for insights into network performance and configuration status. - Multi-Vendor Support: Manage devices from over 200 vendors, ensuring broad compatibility across diverse network infrastructures. - Scalability: Manage up to 10,000 devices, accommodating growing network needs. - Technical Support: Benefit from 24x5 technical support to address any operational challenges. Primary Value and User Solutions: Network Configuration Manager addresses the complexities of network configuration management by automating critical tasks, thereby reducing manual errors and enhancing operational efficiency. It ensures network stability through real-time change detection and compliance auditing, helping organizations maintain secure and compliant network environments. By supporting a wide range of devices and offering scalable solutions, NCM caters to the evolving needs of growing networks, providing a reliable and efficient tool for network administrators.