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What is HPE Edgeline?

HPE Edgeline Converged Edge systems integrate operational technology (OT) with enterprise-grade IT, creating a powerful platform that delivers data center-level computing capabilities directly at the Edge. This Edge can be situated in various environments, from manufacturing sites and offshore oil rigs to neighborhood coffee shops. By embracing a distributed approach to converged edge computing, organizations leveraging HPE Edgeline can significantly improve their capacity for real-time local decision-making, allowing for swift responses and promoting autonomous operations, even in scenarios where connectivity is limited or absent. In addition, the systems maintain high standards of security and compliance throughout their architecture. HPE Edgeline systems effectively merge crucial open standards-based OT data collection and control functions with the enterprise IT infrastructure that drives analytics, facilitating a fast, easy, and secure integration of essential OT hardware and software elements. This seamless integration not only optimizes workflows but also boosts overall productivity across a wide range of sectors, ultimately contributing to a more agile and responsive operational environment. Moreover, the adaptability of these systems ensures that businesses can scale their edge computing solutions according to their evolving needs.

What is HPE Apollo?

The exascale era marks a significant shift in exploration, driven by the rapid expansion of data, integrated workloads, and continuous digital transformation, necessitating advanced capabilities for analysis and processing. To effectively handle a wide range of processor technologies and data-intensive operations, it is crucial to develop new infrastructures that seamlessly merge analytics, artificial intelligence, and high-performance computing (HPC), which can ultimately unlock the complete potential of data and stimulate innovation. Utilizing HPE Apollo systems empowers you to address your most demanding challenges while providing budget-friendly access to supercomputing capabilities. These systems are meticulously designed for optimal rack-scale efficiency, ensuring a perfect blend of performance and adaptability, particularly tailored for both HPC and AI applications. As you progress along your growth path, HPE Apollo solutions facilitate smooth adjustments to varying workloads. Notably, the HPE Apollo 2000 Gen10 Plus system distinguishes itself with its compact design, accommodating as many as four hot-plug servers within a 2U chassis, offering the flexibility to tailor the system to specific HPC requirements while also ensuring future scalability. This strategic approach enables organizations to maintain a competitive edge in the fast-paced evolution of technology and data, ultimately fostering a more innovative environment. Furthermore, embracing such technologies can lead to improved operational efficiency and enhanced decision-making capabilities.

Media

Media

Integrations Supported

CapametriX
Qualcomm Cloud AI SDK
StorMagic SvSAN

Integrations Supported

CapametriX
Qualcomm Cloud AI SDK
StorMagic SvSAN

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hewlett Packard Enterprise

Company Location

United States

Company Website

www.hpe.com/us/en/servers/edgeline-systems.html

Company Facts

Organization Name

HPE

Company Location

United States

Company Website

www.hpe.com/us/en/compute/hpc/apollo-systems.html

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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