edge ai computers

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Servers & Workstations for AI at the Edge

NextComputing edge AI devices combine high-performance hardware, Intel, AMD, and Ampere processors, advanced GPUs, and optimized storage to run complex models, neural networks, and machine learning algorithms close to where data processing happens, at the edge. By minimizing latency and reducing reliance on centralized cloud computing, organizations gain faster decision-making, stronger security, and real-time insights from their datasets at the edge, enabling more intelligent systems that improve productivity and operational efficiency.
  1. Compact, Power-Efficient Processors - AMD, Intel, and ARM-based CPUs from Ampere are designed to execute AI models with minimal energy consumption.
  2. High-Speed Storage - Every NextComputing system features expansive storage options to reduce reliance on central networks.
  3. Compact Form Factor - NextComputing is the expert on offering maximum performance in minimum space. Our solutions range from high-density rack systems to fully deployable fly-away kits.
Modern AI innovation increasingly happens at the edge, where powerful computers, PCs, and specialized devices bring artificial intelligence directly into real-world environments. Our products deliver advanced edge computing capabilities designed for demanding applications, from manufacturing and vehicles to smart machines, video analytics, and connected IoT sensors.

computers for AI at the Edge


Our edge AI solutions are engineered to support a wide variety of workloads, from rugged portable computers to high-performance servers and workstations that power advanced inference and analytics. Whether processing video, managing industrial sensors or microcontrollers, or enabling machine learning intelligence in autonomous vehicles, these computers for AI at the edge provide the power, processing, and connectivity needed for modern infrastructure. Integrated 5G, high-speed I/O, and optimized data analytics pipelines enable real-time performance across distributed platform deployments. With scalable design, robust hardware, and flexible software, engineers, researchers, and developers can easily deploy machine learning models that turn data into meaningful intelligence.
 
NextComputing works closely with trusted partners to deliver hardware and software ecosystems that simplify deployment, integration, and ongoing support. These tools empower every organization to use edge computing for smarter events, industrial automation, broadcasting, predictive analytics, and intelligent devices at the edge. With built-in optimization, scalable infrastructure, our computers support high-volume processing, inference, and data analytics while balancing power consumption and long-term scalability. Explore our content to discover real-world cases, technical details, and the many benefits of deploying artificial intelligence and machine learning intelligence at the edge, and learn how these advanced technology solutions can transform the way your organization works. Use our secure ecommerce store to shop for your ideal edge AI server or workstation. 
 

Contact us to discuss a custom-built high-performance solution for your AI applications and industry-leading information systems.

Featured Systems

High-Performance Ampere-Based Tower Workstations

The Edge XTP tower workstation is a professional-grade platform powered by the Ampere family of high-performance, scalable, power-efficient processors.

Designed for demanding data-intensive, edge and cloud applications, the Edge XTP supports multiple full-size GPU cards for enhanced graphics or AI workflows as well as a variety of storage options including PCI Express and SATA-based SSDs. Together with innovative Ampere CPUs, the Edge XTP allows you to create the ideal high-performance system for your needs.

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Tower Workstation with Ampere processors

Ampere (ARM) Edge AI Appliances

Driven by demands for more sensors and higher bandwidth for sensors and communications in constrained environments, edge computing is naturally gravitating toward the high density and energy efficiency of Cloud Native Processors by Ampere.

NextComputing solutions featuring Ampere processors enable you to leverage high-performance, energy efficient computing hardware while overcoming constrained space, weight, and power restrictions, which traditionally limit edge deployments. The unique characteristics of these combined solutions facilitate large-scale deployments using AI inferencing to expand your capabilities even further without relying on a centralized cloud or enterprise data center.

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Fly-Away Kits

A Fly-Away Kit (FAK) or Expeditionary Kit is a self-contained suite of equipment (hardware and software) which can operate in both field-deployed and back-office environments. NextComputing FAKs are built with the versatility to address a variety of needs in the field of edge computing.

For security analysis, the FAK suite of cyber tools or cloud/server applications include tools to conduct vulnerability analysis, incident response, and other cyber-analytic functions, and are suitable for operation on both classified and unclassified networks.

NextComputing Fly-Away Kits can support a wide variety of user-supplied software modules, including Government Off-the-Shelf (GOTS), Commercial Off-the-Shelf (COTS), and free and open-source software (FOSS).

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NextStation-X

The intelligent, compact design of the NextStation-X allows for both easy transport and expandability. Its short 12” depth and rack mount options for front I-O access or rear I-O access make it ideal for M&E production and live event use cases including broadcast trucks or other vehicles. It is ideal to use as a workstation with PCI Express I-O for on-set production rendering, encoding, graphics editing, color correction, streaming, ISO recording, and more.

  • Cutting edge processors from AMD, Intel, and Ampere
  • No-tools removable storage includes up to (2) NVMe (via direct Oculink connections to the motherboard and via PCI Express bus extenders), (8) SAS/SATA SSDs, and (2) SATA 6G SSDs
  • PCI Express expansion slots for purpose-built I-O configurations and FPGA or GPU co-processing
  • Systems are stackable, cooling front to back
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