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Powering Physical AI at the Edge

Delivering real-time artificial intelligence to your real-world operation.

The future of artificial intelligence (AI) lives at the edge

Smart factories, logistics systems, and connected infrastructure generate a constant stream of data that requires real-time action. Edge AI enables reactions to sensor inputs in milliseconds, triggering automated responses the moment conditions change. 

When this intelligence is applied to systems that move and interact with their environment, it becomes physical AI. OnLogic hardware powers these solutions to become intelligent collaborators, learning and adapting in real-time to transform your operations. We bring computing power to the front lines, reducing latency, cutting cloud computing costs, and enabling instant, local decision-making precisely where it matters most.

How can we help you on your AI journey?

From edge AI hardware solutions, to consulting services that help you realize the full potential of AI, we’re your end-to-end AI partner.

We offer a wide variety of hardware to meet the needs of your project, and we can help you select and configure the right hardware, no matter where you are on your journey to evaluate, implement, and scale AI applications at the edge.

Let OnLogic be your guide with expert guidance including AI consulting services. We bring with us a trusted partner ecosystem offering validated software and integration expertise to ensure your full solution is properly architected, deployed, and supported.

The OnLogic advantage for edge AI

Purpose-built to power real-time intelligence, OnLogic edge devices combine rugged reliability with scalable performance for the most demanding edge and physical AI applications.

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Unrivaled processing for real-time intelligence

Run real-time machine learning, AI model training, and high-speed inference directly at the edge without relying on the cloud.

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Uninterrupted operations with industrial-grade reliability

Built for harsh environments with wide temperature tolerance and protection against dust, shock, and vibration for continuous performance where it matters most.

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Real-time response with ultra-low latency

Run AI applications locally to reduce latency and ensure immediate decision-making for critical automation, robotics, and safety-critical applications.

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Future-ready expansion with modular design

Your AI solutions can grow and adapt alongside your evolving use cases with modular I/O, PCIe, and GPU expansion.

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Protect sensitive data with enhanced edge security

Process sensitive data at the edge to avoid sending off-site. Improve security and compliance while maintaining complete control over critical data and workloads.

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Scale easily

Quickly deploy and scale without extensive re-platforming or custom development with support for machine learning frameworks and containerized workloads.

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Connect seamlessly

Effortlessly integrate with all your IoT devices, sensors, robotics, and automation systems with multiple LAN, PoE, USB, serial, and wireless connectivity options.

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Deploy in space constrained environments

Bring powerful AI capabilities to locations where traditional hardware won't fit, optimizing your operational footprint.

Customer Stories

Edge AI success stories

See how businesses are transforming operations and achieving tangible results with AI-powered intelligence at the industrial edge with OnLogic hardware.

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Enabling robots and humans to work collaboratively

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Leveraging data for smart building solutions

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Improving patient care with AI

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Advancing autonomous agriculture equipment

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Our edge computers need to be reliable, powerful, flexible, secure, and quiet and OnLogic checks all these boxes.

Ken Bedwell

Principal Engineer, SafelyYou

Edge AI across industries

Edge AI powered by OnLogic computers is rapidly transforming diverse industries by bringing real-time intelligence, automated decision-making, and physical AI solutions to the operational forefront. Businesses are leveraging data at the source to unlock new efficiencies and drive innovation across a wide range of AI use cases.

Manufacturing

  • Predictive maintenance

  • Defect detection

  • Worker safety

  • Autonomous robots

  • Process optimization

Supply chain & logistics

  • Real-time inventory management

  • Route optimization

  • Warehouse automation

  • Predictive fleet maintenance

  • Cold chain monitoring

Energy & extraction

  • Continuous asset monitoring

  • Anomaly detection

  • Optimization of grid operations

  • Demand forecasting 

  • Acceleration of clean energy

Transportation

  • Autonomous and semi-autonomous vehicles

  • Intelligent traffic management

  • Route planning

  • Predictive maintenance

  • Enhanced safety

Agriculture

  • Smart irrigation 

  • Crop monitoring

  • Resource management

  • Automated weeding and harvesting

  • Harvest inspection and sorting

Building automation

  • Energy management

  • Access control

  • Space utilization analysis

  • Enhanced security

  • Personalized occupant experience

Smart city

  • Traffic management and optimization

  • Public safety

  • Environmental monitoring

  • Waste management

  • Infrastructure monitoring

Retail

  • Contactless checkout

  • Smart shelves

  • Loss prevention

  • Customer experience

  • Staffing optimization

Hardware platforms

OnLogic edge AI solutions: Powering the future

Supporting the full lifecycle of AI, from training and testing to deployment and ongoing optimization, requires hardware that is purpose-built for the edge. OnLogic edge AI systems are designed to support continuous operation in mission-critical environments, enabling organizations to manage AI workloads with confidence and agility.

Helix 500 Series

The Helix 500 Series is engineered to deliver consistent and dependable operation. The solid-state design and wide operating temperature range ensure 24/7 reliability in challenging environments. Powered by Intel® Core™ Ultra processors with integrated NPUs and options for discrete GPUs, they deliver powerful AI capabilities at the industrial edge.

Karbon 520 Series

The Karbon 520 Series are built for edge AI in extreme environments. Powered by Intel Core Ultra processors, they offer integrated NPU or discrete GPU for efficient, localized processing. Their fanless design, wide temperature range, and testing to MIL-STD-810H standards ensure reliable AI capabilities in rugged industrial applications.

View All AI Computers

AI consulting service

Make OnLogic your trusted AI consultant

Wherever you are on your AI adoption journey, OnLogic can be your guide. Work with us to determine where you'll see the most return on your investment in AI, and what resources are needed to create and implement a solution. We will tap into our growing ecosystem of partners, providing you with access to the collective expertise needed to make it possible.

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Ideation workshop

We can collaborate to create a prioritized list of edge AI use cases.

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Proof of concept (PoC)

We can design and help implement a PoC for your AI application.

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Commercial deployment

We can help take your solution from pilot to full deployment.

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Monitoring & Maintenance

We can work with you to track results and tune your AI algorithms to realize all the benefits of edge AI.

OnLogic + partners make it possible

Hardware is the foundational piece of your edge AI architecture, but the software and supporting infrastructure is what brings your application to life. We’ve teamed up with leading industry partners to ensure your full solution is properly architected, deployed, and supported.

Orchestration Partners

Avassa logo

Container application management at the edge

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AI-driven, cloud-based device management

NodeWeaver logo

Data center capabilities in edge environments

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Large-scale edge orchestration

AI Implementation Partners

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AI development

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AI development

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End to end computer vision

Edge AI and physical AI articles and white papers

To dive deeper into the transformative power of edge AI, explore our collection of insightful articles and comprehensive white papers.

Article

Right Sizing Your Edge AI Hardware

This guide to optimizing computer vision deployments shows you how to select your edge AI hardware to achieve your AI objectives.

Article
Article

Physical AI at the Edge

Explore how physical AI and edge AI are transforming industries. Learn about autonomous systems, digital twins, and the hardware driving the physical world.

Article
Article

Secure Edge AI: The Role of Private AI and On-Premise Infrastructure

Learn how private AI and on-premise AI infrastructure are tools to build secure edge AI at scale.

Article
White Paper

Using Synthetic Data to Fine-tune YOLOv10 for Order Accuracy Validation

Learn how to unlock the power of AI using synthetic data to fine-tune YOLOv10 for order accuracy validation.

White Paper

Hardware built for physical AI

Edge AI is reshaping how industries process data by enabling real-time data intelligence where decisions happen. As these applications evolve, they are moving beyond simple data analysis and into physical AI, where intelligence interacts directly with the physical world. Unlike cloud-based systems that rely on centralized processing in a remote data center, edge AI technology deploys artificial intelligence models locally, near the source of data. This reduces latency, improves privacy, and ensures faster, more reliable results in critical functions like predictive maintenance, quality inspection, and intelligent automation.

Modern physical AI deployments require a balance of high-performance CPUs, NPUs, GPUs and accelerated computing hardware to handle complex AI algorithms and deep learning tasks. OnLogic delivers the edge-ready systems you need to support your AI ecosystem. We can help you select the right hardware that is essential to unlock scalable performance and seamless integration into existing workflows.

Talk to a solution specialist

Our OnLogic solutions experts are available to review your requirements and recommend the ideal solution for your application.

Call: +1 (802) 861 1590

Email: info@onlogic.com

Contact us during office hours | Mon - Fri, 8:30am to 5:30pm (ET)

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