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    • Jetson AI Edge Computers

      Extremely Rugged. EDGEBoost Technology. Scalable Sizes

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      JCO-6000 Series
      High-Performance AI Edge Computers
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      NVIDIA Rugged Edge AI:

      WCO-6000-THR Series
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      WCO-3000-ORN Series
      IP66 AI Edge Computers
    • X86 Super-Rugged Computers

      Extremely Rugged. EDGEBoost Technology. Scalable Sizes

      Intel Rugged Edge AI:

      RCO-6000 Series
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      RCO-3000 Series
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      RCO-1000 Series
      Fanless Mini Computers
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      Semi-Rugged Computers

      Semi-Rugged. Performance Focused. Scalable Sizes

      Intel Industrial Edge AI:

      BCO-6000-RPL Series
      Industrial Computers
      BCO-3000-RPL Series
      Small Form Factor Computers
      BCO-1000-ADLN Series
      Fanless Compact Computers

      Intel and Arm® Industrial Edge AI:

      BCO-500 Series
      Fanless Mini Computers
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      x86 Industrial Edge AI Workstations:

      KCO-6000 Series
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      KCO-3000 Series
      Expandable Edge AI Workstation
      KCO-2000 Series
      Compact Edge AI Workstation

      x86 Rugged Edge AI Workstations:

      VCO-6000 Series
      Rugged Edge AI Workstation
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      FIO Series IP65 Open Frame Industrial Touchscreen Monitors
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    Industrial Touch Panel PCs and Monitors

    IP Rated Touchscreen Computers For HMI Integration

    See products

    Supercapacitor Technology

    For Mission-Critical Edge Computing

    Learn more

    Physical AI Industrial Computers

    Where AI Meets the Physical World

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    • Key Technologies
    • Applications
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    Introducing Physical AI

    Physical AI is where artificial intelligence escapes the cloud and enters the real world—enabling machines to perceive, decide, and act in real time. It powers the intelligence behind autonomous robots, smart vehicles, and connected infrastructure by combining AI models with real-world sensors and control systems at the edge.

    Start Your Physical AI Transformation

    Getting started with Physical AI involves three core steps: simulating your environment, training and validating AI models, and deploying those models at the edge. Premio enables this final step with industrial-grade edge computers built for reliable, real-time AI performance in demanding physical conditions.

    Bringing Physical AI to Life with Premio

    Physical AI takes shape when trained models are deployed on edge hardware built for real-world demands. Premio’s industrial computers are engineered to run AI workloads reliably at the edge—with the performance, durability, and flexibility needed to process data in real time and turn intelligence into action.

    NVIDIA Jetson™ Edge PCs

    Compact, fanless platforms powered by Jetson™ Orin modules, delivering robust AI for robotics, AMRs/AGVs, and edge vision inference.

    Industrial GPU Computers

    GPU/PCIe accelerator-ready box PCs designed for vision AI, real-time analytics, and multimodal workloads.

    X86 Super-Rugged Computers

    Ruggedized fanless systems built for extreme operating temperatures, equipped with high-performance CPUs and customizable EDGEBoost I/O modules for maximum flexibility.

    X86 Semi-Rugged Computers

    Compact fanless computers that balance performance, energy efficiency, and versatile I/O configurations for industrial edge deployments.

    DIN-Rail Fanless Computers

    Built for harsh industrial environments, space constrained, process control, and 24/7 automation.

    ARM® Semi-Rugged Computers

    Energy-efficient ARM platforms with wide-temperature resilience, optimized to run Debian or Android applications at the edge.

    On-Prem Data Center Servers

    High-density 1U–3U servers optimized for private LLMs, multimodal AI, and edge data center workloads.

    • Super-Rugged

    JCO-6000-ORN Series

    High-Performance AI Edge Computer

    Rugged fanless AI edge computers leveraging NVIDIA Jetson AGX Orin module (Up to 275 TOPS)

    • Modular EDGEBoost I/O Support (M12/RJ45, USB, 10GbE, PoE)
    • 8x USB3 Vision Locking Ports
    • 8x Mini-Fakra connectors for GMSL Cameras
    • Out-of-Band Port for remote management
    • Super-Rugged

    JCO-3000-ORN Series

    Mid-Range AI Edge Computer

    Rugged fanless AI edge computers leveraging NVIDIA Jetson NX & Nano (Up to 100 TOPS)

    • Support up to 4x PoE Camera
    • Multiple DIO Ports with 8x/16x DIO
    • Out-of-Band Module for Remote Management
    • Super-Rugged

    JCO-1000-ORN Series

    Entry-level AI Edge Computer

    Rugged Fanless AI Edge Computers leveraging NVIDIA Jetson Orin Nano module (Up to 40 TOPS).

    • Ultra-Compact Form Factor
    • 2x USB 3.2 Gen2
    • 4K HDMI
    • Out-of-Band Module for Remote Management
    • Super-Rugged

    RCO-6000 Series

    High Performance Industrial Computer

    Maximizes edge Al performance and modular EDGEBoost flexiblility for optimized edge deployments.

    • Intel Core Processors
    • Modular M12/RJ45, USB, 10GbE, PoE Support
    • EDGEBoost Nodes for dedicated GPU, NVMe/SATA storage, & PCIe expansion
    • Automation-Ready Wireless Connectivity
    • Fanless & Cableless
    • Super-Rugged

    RCO-3000 Series

    Mid Range Small Form Factor Computer

    High-performance within a small form factor to streamline real-time edge processing and rich I/O connectivity.

    • x86 Intel Core Embedded Processors
    • Modular M12/RJ45, USB, 10GbE, PoE Support
    • Hot-swappable SSD Bay
    • Automation-Ready Wireless Connectivity
    • Fanless & Cableless
    • Super-Rugged

    RCO-1000 Series

    Entry Level Industrial Mini Computer

    Industrial-grade NUC Alternative optimized with low-power efficiency for lite edge workflows in space constrained deployments.

    • x86 Intel Celeron Embedded Processors
    • Scalable EDGEBoost I/O Support (USB, COM, DIO)
    • Embedded CAN Bus
    • Industrial NUC Alternative
    • Rugged

    BCO-6000-RPL Series

    High Performance Industrial Computer

    Semi-Rugged Industrial GPU Computer for general purpose industrial computing workloads

    • Powered by x86 Intel Core Embedded Series Processors (35W TDP)
    • Slim, Low-Profile, and Short-Depth Chassis
    • GPU Integration
    • Edge AI Ready
    • Wireless Connectivity for IIoT
    • Rugged

    BCO-3000-RPL Series

    Mid-Range Small Form Factor Computer

    High-performance within a small form factor to streamline general purpose industrial computing workloads

    • Powered by x86 Intel Core Embedded Series Processors (35W TDP)
    • Extensive, rich I/O
    • M.2 Expansion
    • Edge AI Ready
    • Wireless Connectivity for IIoT
    • Rugged

    BCO-1000-ADLN Series

    Entry Level Industrial Compact Computer

    Semi-Rugged NUC alternative for industrial computing workloads

    • Powered by x86 Intel Alder Lake N Series Processor
    • Compact Size for Space Constrained Applications
    • Industrial NUC alternative
    • Wireless Connectivity for IIoT
    • Rugged

    BCO-500-ADL Series

    Mid-Range Fanless Mini Computer

    Semi-rugged NUC alternative for space limited applications

    • Powered by x86 Intel Alder Lake N Series Processor
    • Mini form factor for space constrained deployments
    • Industrial NUC alternative
    • Wireless Connectivity for IIoT
    • Rugged

    BCO-500-ROK Series

    Low-Power ARM® Fanless Mini Computer

    Semi-rugged NUC alternative for space limited applications

    • Powered by Rockchip RK3568J Processor
    • Mini Form Factor for Space Constrained Deployments
    • Rich IIoT Connectivity
    • Robust Wireless & Cellular Connectivity
    • Specialized
    • Rugged

    DCO-1000-ASL Series

    DIN-Rail Fanless Embedded Computer

    Compact, fanless din-rail industrial computer designed for demanding IoT environments.

    • X86 Intel Atom Embedded Processor
    • Ultra-rugged fanless with DIN-RAIL Mount
    • Up to 4x RJ45 LAN with OOB module
    • Specialized
    • Industrial

    KCO Series

    Short-Depth Industrial Computer

    Semi-Rugged High Performance Industrial Computer for intelligent computer vision

    • Supports Intel Core Processor and mATX motherboard
    • Fanned 2U or 3U Chassis with Dust Filter
    • Dual GPU Compatability
    • Certification Ready: UL, CE, FCC
    • Specialized
    • Rugged

    VCO-6000 Series

    Rugged Edge AI Workstation

    Built for rugged edge AI deployments with high-performance Intel® Core™ processing, FHFL dual-GPU support, and fanless computing node design.

    • Intel® Core™ 35W/65W processors
    • FHFL dual-GPU support
    • 600W GPU power budget
    • Rugged fanless computing node design
    • Rugged

    BCO-500-ROK Series

    Low-Power ARM® Fanless Mini Computer

    Semi-rugged NUC alternative for space limited applications

    • Powered by Rockchip RK3568J Processor
    • Mini Form Factor for Space Constrained Deployments
    • Rich IIoT Connectivity
    • Robust Wireless & Cellular Connectivity
    • On-Prem Datacenter

    LLM-1U-RPL Series

    1U Edge AI Server

    Deploy on-prem LLM and generative AI workloads for real-time inferencing and decision-making capabilities.

    • 13th Gen Intel Core Processor
    • Dedicated GPU Acceleration
    • Operational Redundancy
    • Short-Depth, 1U Form Factor

    High-Performance AI Acceleration

    Ruggedized Industrial

    Flexible I/O & Sensor Integration

    Modular & Scalable Architecture

    Long Lifecycle & Industrial Certifications

    Why Physical AI is Accelerating Now

    Physical AI is emerging as the next frontier in automation. Gartner’s 2025 AI Hype Cycle points to multimodal AI, AI-ready data, and autonomous agents as critical drivers of growth. The real breakthrough comes when trained models move from the cloud to the industrial edge, running next to sensors and machines to deliver responsiveness, reliability, and trust in real-world environments.

    The Edge Advantage:

    • Instant Responsiveness – Real-time decisions without cloud latency
    • Operational Continuity – AI systems keep running even if networks fail
    • Trusted Security – Sensitive data stays local and protected
    • Adaptive Intelligence – Edge systems learn and improve in real-world conditions

    “Physical AI development stands at a crossroads between two revolutionary paradigms: the speed of GPU-accelerated simulation and the promise of self-supervised world models. Product leaders must prioritize investments in the proven simulation approach for near-term gains while preparing for the transformative potential of world models in the long run.”

    Gartner

    Explore Premio Key Technologies for Physical AI

    Edge AI Accelerators
    EDGEBoost Modularity
    Remote Management & Connectivity
    Operation Reliability

    Edge AI Accelerators

    Configure your Edge AI accelerators to run LLMs, SLMs, and inference for faster, more efficient Physical AI deployments.

    See Industrial GPU PCs
    See NVIDIA Jetson
    See Hailo-8 Accelerators

    EDGEBoost Modularity

    Precisely scale and tailor deployment high-connectivity and performance requirements with modular EDGEBoost technologies.

    See EDGEBoost I/O
    See EDGEBoost Node

    Remote Management & Connectivity

    Keep industrial systems connected and under supervision with remote management and 5G-ready computing.

    Remote OOB Management
    Industrial 5G Ready

    Operational Reliability

    Withstand power fluctuations, extreme temperatures, dust, and constant shock or vibration in harsh industrial environments.

    SuperCAP UPS
    Fanless Cooling Design

    Discover Key Applications of Industrial Physical AI

    Explore the four key application quadrants of Industrial Physical AI and see how Premio hardware enables intelligence at the edge.

    Vision & Perception Nodes

    AI vision systems that see, detect, and interpret the physical world.

    Autonomous Mobility Systems

    AI powering autonomy in robots, vehicles, and mobile platforms.

    Process & Infrastructure AI

    Smarter factories, energy grids, and city systems with AI at the edge.

    On-Prem Data Center Edge

    High-density edge servers for private LLMs, multimodal AI, and real-time analytics.

    Why Choose Premio

    An ‘Inside Outsource’ To Your Success

    With 30+ years of embedded manufacturing, Premio emphasizes its specialty in highly reliable and rugged edge computing hardware for Industry 4.0 deployment applications. Our dedicated teams ensure Premio provides swift time-to-market solutions with our global turnkey manufacturing and support infrastructure for scalable deployment.

    • State-of-the-art facility in Los Angeles, California (ISO9001, ISO14001, ISO13485)
    • Regulatory testing and compliance for North American market
    • In-house burn-in testing and simulation chambers
    • Dedicated support and supply chain teams to navigate disruptions

    Real-World Digital Transformation Case Studies

    From production inefficiencies to quality control bottlenecks, these organizations integrated rugged edge computing solutions to successfully enable their deployment applications. Explore how these forward-thinking organizations adopted Industry 4.0 manufacturing technologies to address major pain points and optimize their productivity.

    Scaling Industrial Vision Robotics with Rugged NVIDIA Jetson AI PC

    Discover how a robotics startup fast-tracked its factory inspection system using Premio’s rugged JCO-6000-ORN.

    Advancing Smart Drone Production with Rugged IoT Edge Computing

    Learn more about how a super-rugged small form factor industrial computer enabled real-time IoT data processing to power next-generation drone manufacturing. 

    Precision in Every Cut: How a Leading Surgical Robotics Manufacturer Future-Proofed Its Compute Infrastructure

    Discover how one company turned to Premio to help them future proof their surgical manufacturing infrastructure with the RCO-6000-RPL.

    Optimizing Supply Chain Disruptions for Robotics with Premio’s KCO Series

    When an industrial robotics company was facing drastic supply chain challenges, they turned to Premio to help solve their roadblocks. Discover how Premio solved and scale their operations.

    Physical AI Decision Toolkits

    Decision Toolkits guide you through the key steps to identify the right industrial AI computer for specific Industrial Physical AI use cases.

    Advanced Predictive Maintenance Using Multimodal Sensors

    Discover key challenges and solutions for AI-powered predictive maintenance systems. Learn how rugged edge AI empowers modern manufacturing predictive maintenance for automation engineers. 

    Rugged Intelligence in Smart Manufacturing: Solutions for Manufacturing Engineers

    Discover more about how rugged edge AI computers empower manufacturing engineers with reliable, compact, and scalable solutions to drive smart factory transformation.

    AI-Powered Robotics Inspection Systems for Manufacturing Quality Control

    Manufacturing quality control (QC) is undergoing a robotics revolution. Traditional manual inspection is error-prone, slow, and costly, leading industries to adopt robotic arms with AI vision. Today’s robotics engineers are architects of autonomous inspection agents that combine mechanical precision with artificial intelligence. 

    Logistics Automation Solutions Guide for Edge Computing Deployments

    Discover the top trends and challenges in logistics automation and see how rugged edge computing and industrial monitors enable faster, smarter, and more reliable warehouse operations! 

    #1 Vision and Perception Nodes for Industrial Physical AI

    AI vision systems that see, detect, and interpret the physical world.

    Vision and perception are the foundation of Industrial Physical AI. By equipping machines with the ability to see and interpret their environment, organizations unlock real-time insights that improve safety, efficiency, and productivity.

    Rugged industrial computers designed for AI vision power advanced models such as object detection, VLM-powered inspection, and high-speed video analytics — turning raw camera feeds into actionable intelligence at the edge.

    Automated Defect Detection

    Identify flaws on production lines in milliseconds to reduce scrap and improve yield.

    Quality Inspection with VLMs

    Classify complex product variations with high precision.

    Real-Time Video Analytics

    Monitor multiple camera feeds for anomalies, safety hazards, or events.

    Crowd & Traffic Monitoring

    Optimize urban mobility and enhance public safety with AI-powered object tracking.

    Barcode & Package Recognition

    Accelerate logistics with automated scanning and tracking.

    Vision-Guided Robotics

    Enable robotic arms, AMRs, and conveyors to perform tasks with precision.

    3D Vision & Sensor Fusion

    Use LiDAR and depth sensing for measurement, positioning, and navigation.

    Medical Imaging Assistance

    Support diagnostics and lab automation with AI-driven anomaly detection.

    On-Premise Video Inference

    Reduce cloud dependency and safeguard sensitive data with local AI processing.

    Solving Industry Challenges with Physical AI

    Smart Factories

    Challenges:

    • High defect rates from manual inspection.
    • Difficulty detecting subtle anomalies at production speed.
    • Labor-intensive quality control processes.

    Physical AI Solutions:

    • Deploy AI vision systems for automated defect detection at millisecond speeds.
    • Use VLM-powered inspection to classify complex product variations.
    • Improve yield and reduce waste with real-time anomaly detection.

    Technologies behind the solution:

    Machine Vision Computers

    This industrial GPU computer is specific to enabling AI quality inspection due to the intricacies of the LLMs and high-fidelity IoT vision cameras necessary. It features seamless PCIe expansion to support both add-on network cards and FHFL GPUs.

    • Support for dual FHFL GPU configurations
    • Real-time edge AI performance
    • Compatible with high-speed IoT vision cameras
    Learn more

    Smart Cities & Surveillance

    Challenges:

    • Growing need for public safety monitoring across dense urban areas.
    • Overwhelming data from thousands of video streams.
    • High cloud bandwidth costs and latency issues.

    Physical AI Solutions:

    • Process video feeds at the edge for real-time threat detection and crowd analytics.
    • Enable traffic flow optimization with AI-powered object and behavior tracking.
    • Reduce cloud dependency with local inference for instant response.

    Technologies behind the solution:

    The RCO Series is purpose-built to deliver real-time edge AI performance, IoT compatibility, and extreme durability. With a fanless and cableless design and support for EDGEBoost technologies, it can be optimized seamlessly to meet diverse deployment requirements.

    • Real-time edge AI performance
    • Modular EDGEBoost technologies
    • Super-rugged durability
    Learn more

    In a more controlled environment with less extreme factors, x86 Semi-Rugged Industrial Computers provide powerful processing capabilities with x86 Intel embedded processors while remaining cost-effective.

    • Real-time edge performance
    • Cost-effective
    • Semi-rugged durability
    Learn more

    Designed with modular IoT daughterboards, EBIO enables seamless plug-and-play integration to meet diverse I/O requirements. It ensures adaptability for various IoT deployments and seamless, tailored connectivity.

    • PoE Support
    • RJ45/M12 Connection Types
    • M.2 Acceleration
    Learn more

    Deliver seamless flexibility and optimization to meet specific performance acceleration requirements with EDGEBoost Nodes. Each node is designed to address specific acceleration needs by integrating AI acceleration, maximized data storage, and seamless compatibility with add-on expansion cards.

    • Dedicated low-profile GPU
    • Hot-swappable NVMe/SATA storage
    • PCIe Gen 4 expandability
    Learn more

    Logistics & Warehousing

    Challenges:

    • Manual barcode/label scanning slows throughput.
    • Package misplacements and tracking errors.
    • Inconsistent safety monitoring in busy facilities.

    Physical AI Solutions:

    • Apply computer vision for automated barcode recognition and package tracking.
    • Deploy real-time video analytics for workflow visibility and worker safety.
    • Enable robotic arms and conveyors with vision-guided control.

    Technologies behind the solution:

    Machine Vision Computers

    This industrial GPU computer is specific to enabling AI quality inspection due to the intricacies of the LLMs and high-fidelity IoT vision cameras necessary. It features seamless PCIe expansion to support both add-on network cards and FHFL GPUs.

    • Support for dual FHFL GPU configurations
    • Real-time edge AI performance
    • Compatible with high-speed IoT vision cameras
    Learn more

    Healthcare & Life Sciences

    Challenges:

    • Human error in imaging-based diagnostics.
    • Growing need for lab automation and compliance tracking.
    • Sensitivity of patient data in cloud-only workflows.

    Physical AI Solutions:

    • Support imaging diagnostics with AI-powered anomaly detection.
    • Enhance lab efficiency with automated sample inspection.
    • Ensure secure on-premise AI processing for sensitive medical data.

    Technologies behind the solution:

    Short-Depth Industrial Computers

    KCO Short-Depth Industrial Computers deliver expansion card acceleration for AI vision, enabling real-time insights at the edge. Built as certification-ready COTS platforms, they support scalable OEM deployments across manufacturing, security, healthcare, and transportation without re-certification delays.

    • Short-depth design with AI vision acceleration
    • Real-time processing at the edge for key industries
    • Certification-ready COTS for fast, scalable integration
    Learn more

    #2 Mobility & Autonomous Control for Industrial Physical AI

    AI powering autonomy in robots, vehicles, and mobile platforms.

    Mobility is at the heart of Industrial Physical AI, where machines must navigate dynamic environments, avoid obstacles, and coordinate with people and other systems. From factory floors and warehouses to railways and transportation hubs, rugged industrial computers enable real-time decision-making for AMRs, AGVs, autonomous forklifts, drones, and mobile robotics. By combining sensor fusion (LiDAR, vision, radar, GPS, telemetry) with low-latency AI inference, Premio hardware powers the intelligence that makes autonomy possible.

    Autonomous Navigation

    Safe movement of AMRs, AGVs, and forklifts in factories and warehouses.

    Obstacle Detection

    Real-time recognition of people, equipment, and hazards.

    Multimodal Sensor Fusion

    LiDAR, cameras, radar, and GPS combined for precise mobility.

    Fleet Coordination

    Synchronization of multiple AMRs/AGVs to optimize throughput.

    Human-Machine Safety

    Real-time AI vision to ensure safe interaction between robots, forklifts, and people.

    Railway Safety Monitoring

    Obstacle avoidance and real-time surveillance for rolling stock and crossings.

    Predictive Maintenance

    Detect early signs of component failure in mobile systems.

    Solving Industry Challenges with Physical AI

    Autonomous Robotics

    Challenges:

    • Complex navigation in crowded and changing environments.
    • Risk of collisions with people, equipment, or other robots.
    • High demand for fleet coordination and operational efficiency.

    Physical AI Solutions:

    • Multimodal sensor fusion for obstacle detection and path planning.
    • Edge inference for millisecond-level decision-making and navigation.
    • Fleet intelligence supported by scalable edge computers to manage AMR/AGV coordination.

    Technologies behind the solution:

    By leveraging NVIDIA Jetson, manufacturers can deliver cutting-edge AI capabilities for AGV and AMR robotics, ensuring exceptional performance even in the most demanding environments.

    • Powered by NVIDIA Jetson SoM engineered for high AI performance while maintaining low-power utilization and compact form factor
    • Compatible with a wide range IoT devices and sensors including LiDAR sensors, IP vision cameras, and GMSL cameras
    • Support for out-of-band (OOB) remote device management
    Learn more

    The RCO Series is purpose-built to deliver real-time edge AI performance, IoT compatibility, and extreme durability. With a fanless and cableless design and support for EDGEBoost technologies, it can be optimized seamlessly to meet diverse deployment requirements.

    • Real-time edge AI performance
    • Modular EDGEBoost technologies
    • Super-rugged durability
    Learn more

    Transportation & Railway

    Challenges:

    • Safety-critical environments with little tolerance for delays or errors.
    • Obstacle detection required in real time for rolling stock and rail crossings.
    • Need for reliable systems that work in vibration-heavy and extreme weather conditions.

    Physical AI Solutions:

    • AI vision systems for obstacle detection and passenger safety monitoring.
    • Rugged x86 computers with railway certifications (EN50155/EN50121-3-2) for 24/7 deployment.
    • Edge AI inference for surveillance, predictive maintenance, and signaling control.

    Technologies behind the solution:

    The ACO Series in-vehicle and railway computers are built for intelligent transportation, delivering reliable performance, rugged certifications, and real-time connectivity to support data-driven mobility and edge AI applications.

    • Certified for in-vehicle and railway standards
    • High-performance computing with wide power input
    • Designed for reliable edge connectivity and control
    Learn more

    Supercapacitors provide short-term power supply, from 30 seconds up to a few minutes. It plays a critical role as an alternative to batteries for storing energy and acts as a power back-up source.

    • Extremely fast charging times
    • Industrial-grade durability
    • 10-year operating longevity
    Learn more

    Warehousing & Material Handling

    Challenges:

    • High labor costs and workforce shortages in logistics operations.
    • Inefficiencies in manual forklifts, conveyors, and sorting systems.
    • Safety risks in fast-moving warehouse environments.

    Physical AI Solutions:

    • Autonomous forklifts and AMRs powered by edge AI to move goods efficiently.
    • Vision-guided material handling for automated loading, sorting, and packaging.
    • Predictive maintenance for continuous uptime of critical equipment.

    Technologies behind the solution:

    By leveraging NVIDIA Jetson, manufacturers can deliver cutting-edge AI capabilities for AGV and AMR robotics, ensuring exceptional performance even in the most demanding environments.

    • Powered by NVIDIA Jetson SoM engineered for high AI performance while maintaining low-power utilization and compact form factor
    • Compatible with a wide range IoT devices and sensors including LiDAR sensors, IP vision cameras, and GMSL cameras
    • Support for out-of-band (OOB) remote device management
    Learn more

    Designed with modular IoT daughterboards, EBIO enables seamless plug-and-play integration to meet diverse I/O requirements. It ensures adaptability for various IoT deployments and seamless, tailored connectivity.

    • PoE Support
    • RJ45/M12 Connection Types
    • M.2 Acceleration
    Learn more

    #3 Infrastructure & Process AI for Industrial Physical AI

    Smarter factories, energy grids, and city systems with AI at the edge.

    Infrastructure and process automation form the backbone of industrial and urban ecosystems. From energy grids and utilities to transportation networks and manufacturing systems, uptime and efficiency are non-negotiable. Industrial Physical AI brings intelligence directly to the edge, enabling predictive maintenance, real-time monitoring, safety management, and process optimization. Premio’s rugged industrial computers ensure that these mission-critical systems operate reliably in harsh conditions while running advanced AI workloads at scale.

    Predictive Maintenance

    Detect early signs of failure across grids, railways, and factories.

    Process Automation

    Automate workflows and SCADA operations with real-time AI insights.

    Smart Grid Optimization

    Balance loads and integrate renewables more efficiently.

    Energy Infrastructure Monitoring

    Track pipelines, substations, and renewable farms with edge AI.

    Urban Infrastructure Intelligence

    Improve traffic flow, utilities, and public safety with localized AI.

    Solving Industry Challenges with Physical AI

    Energy & Utilities

    Challenges:

    • Downtime in power grids leads to large-scale disruptions.
    • Harsh outdoor environments with wide energy swings.
    • Rising cyber and physical security risks in critical infrastructure.

    Physical AI Solutions:

    • Edge AI predictive maintenance to detect failures before they occur.
    • Real-time sensor integration for monitoring substations, pipelines, and wind/solar farms.
    • On-premise compute for secure, low-latency operations independent of unstable connectivity.

    Technologies behind the solution:

    The DCO Series DIN-Rail embedded computers combine compact, fanless design with industrial-grade reliability, delivering efficient edge performance for space-constrained and mission-critical IoT applications.

    • Compact DIN-Rail form factor
    • Reliable fanless operation
    • Built for industrial edge applications
    Learn more

    The RCO Series is purpose-built to deliver real-time edge AI performance, IoT compatibility, and extreme durability. With a fanless and cableless design and support for EDGEBoost technologies, it can be optimized seamlessly to meet diverse deployment requirements.

    • Real-time edge AI performance
    • Modular EDGEBoost technologies
    • Super-rugged durability
    Learn more

    In a more controlled environment with less extreme factors, x86 Semi-Rugged Industrial Computers provide powerful processing capabilities with x86 Intel embedded processors while remaining cost-effective.

    • Real-time edge performance
    • Cost-effective
    • Semi-rugged durability
    Learn more

    By leveraging NVIDIA Jetson, manufacturers can deliver cutting-edge AI capabilities for AGV and AMR robotics, ensuring exceptional performance even in the most demanding environments.

    • Powered by NVIDIA Jetson SoM engineered for high AI performance while maintaining low-power utilization and compact form factor
    • Compatible with a wide range IoT devices and sensors including LiDAR sensors, IP vision cameras, and GMSL cameras
    • Support for out-of-band (OOB) remote device management
    Learn more

    Supercapacitors provide short-term power supply, from 30 seconds up to a few minutes. It plays a critical role as an alternative to batteries for storing energy and acts as a power back-up source.

    • Extremely fast charging times
    • Industrial-grade durability
    • 10-year operating longevity
    Learn more

    Industrial Process Automation

    Challenges:

    • Manual monitoring slows production efficiency.
    • Legacy SCADA systems lack AI capabilities.
    • Downtime leads to costly output loss.

    Physical AI Solutions:

    • DIN-rail fanless PCs for secure cabinet deployment in harsh industrial environments.
    • AI-driven automation for monitoring equipment, flows, and quality.
    • Edge inference to optimize process performance and reduce human error.

    Technologies behind the solution:

    The DCO Series DIN-Rail embedded computers combine compact, fanless design with industrial-grade reliability, delivering efficient edge performance for space-constrained and mission-critical IoT applications.

    • Compact DIN-Rail form factor
    • Reliable fanless operation
    • Built for industrial edge applications
    Learn more

    The RCO Series is purpose-built to deliver real-time edge AI performance, IoT compatibility, and extreme durability. With a fanless and cableless design and support for EDGEBoost technologies, it can be optimized seamlessly to meet diverse deployment requirements.

    • Real-time edge AI performance
    • Modular EDGEBoost technologies
    • Super-rugged durability
    Learn more

    In a more controlled environment with less extreme factors, x86 Semi-Rugged Industrial Computers provide powerful processing capabilities with x86 Intel embedded processors while remaining cost-effective.

    • Real-time edge performance
    • Cost-effective
    • Semi-rugged durability
    Learn more

    By leveraging NVIDIA Jetson, manufacturers can deliver cutting-edge AI capabilities for AGV and AMR robotics, ensuring exceptional performance even in the most demanding environments.

    • Powered by NVIDIA Jetson SoM engineered for high AI performance while maintaining low-power utilization and compact form factor
    • Compatible with a wide range IoT devices and sensors including LiDAR sensors, IP vision cameras, and GMSL cameras
    • Support for out-of-band (OOB) remote device management
    Learn more

    Supercapacitors provide short-term power supply, from 30 seconds up to a few minutes. It plays a critical role as an alternative to batteries for storing energy and acts as a power back-up source.

    • Extremely fast charging times
    • Industrial-grade durability
    • 10-year operating longevity
    Learn more

    Smart Infrastructure & Cities

    • Urban systems generate massive amounts of data from sensors, meters, and IoT devices.
    • Latency and cloud dependency hinder real-time responsiveness.
    • Need for scalable AI deployments across city-wide operations.

    Physical AI Solutions:

    • Local AI compute for real-time decision-making on utilities, traffic, and public services.
    • Multimodal AI for integrating video, IoT, and sensor data.
    • Rugged servers to scale city-wide edge deployments securely and efficiently.

    Technologies behind the solution:

    The DCO Series DIN-Rail embedded computers combine compact, fanless design with industrial-grade reliability, delivering efficient edge performance for space-constrained and mission-critical IoT applications.

    • Compact DIN-Rail form factor
    • Reliable fanless operation
    • Built for industrial edge applications
    Learn more

    The RCO Series is purpose-built to deliver real-time edge AI performance, IoT compatibility, and extreme durability. With a fanless and cableless design and support for EDGEBoost technologies, it can be optimized seamlessly to meet diverse deployment requirements.

    • Real-time edge AI performance
    • Modular EDGEBoost technologies
    • Super-rugged durability
    Learn more

    In a more controlled environment with less extreme factors, x86 Semi-Rugged Industrial Computers provide powerful processing capabilities with x86 Intel embedded processors while remaining cost-effective.

    • Real-time edge performance
    • Cost-effective
    • Semi-rugged durability
    Learn more

    By leveraging NVIDIA Jetson, manufacturers can deliver cutting-edge AI capabilities for AGV and AMR robotics, ensuring exceptional performance even in the most demanding environments.

    • Powered by NVIDIA Jetson SoM engineered for high AI performance while maintaining low-power utilization and compact form factor
    • Compatible with a wide range IoT devices and sensors including LiDAR sensors, IP vision cameras, and GMSL cameras
    • Support for out-of-band (OOB) remote device management
    Learn more

    Supercapacitors provide short-term power supply, from 30 seconds up to a few minutes. It plays a critical role as an alternative to batteries for storing energy and acts as a power back-up source.

    • Extremely fast charging times
    • Industrial-grade durability
    • 10-year operating longevity
    Learn more

    #4 Edge AI Micro Data Centers for Industrial Physical AI

    High-density edge servers for private LLMs, multimodal AI, and real-time analytics.

    As AI models grow in complexity, organizations face the challenge of running LLMs, VLMs, and multimodal workloads without relying solely on cloud infrastructure. Edge AI Micro Data Centers bring high-density compute power directly on-site — enabling faster inference, greater data privacy, and reduced cloud costs. Premio’s rugged rackmount and workstation-class systems deliver GPU acceleration, modular scalability, and enterprise reliability, transforming factories, cities, and enterprises into intelligent AI-driven ecosystems.

    Hybrid Edge Inference

    Run AI workloads locally while integrating cloud retraining for continuous improvement.

    Private LLM Deployments

    Host foundation models on-prem for data security and compliance.

    Multimodal AI Processing

    Fuse vision, language, and sensor data for context-aware decision-making.

    Smart Factory Intelligence

    Power simultaneous workloads for robotics, vision inspection, and predictive analytics.

    Smart City Infrastructure

    Enable real-time traffic optimization, surveillance, and energy management.

    Enterprise Edge Clouds

    Create localized AI clusters to scale enterprise AI applications securely.

    Solving Industry Challenges with Physical AI

    Smart Factories

    Challenges:

    • High-latency cloud processing delays AI-driven automation.
    • Sensitive production data cannot always be sent offsite.
    • Need to scale inference for vision, robotics, and quality control simultaneously.

    Physical AI Solutions:

    • Hybrid edge inference for millisecond-level response times on production lines.
    • On-prem AI clusters to keep manufacturing data secure and local.
    • Rackmount GPU servers for scaling vision AI and robotic coordination across factory floors.

    Technologies behind the solution:

    LLM-1U-RPL Series

    The LLM Series edge AI servers are built for real-time generative and multimodal AI, delivering low-latency inference and secure on-premise processing without cloud reliance. With a short-depth 1U design and GPU acceleration, they bring advanced AI capabilities closer to data for industrial, enterprise, and field deployments.

    • Short-depth 1U edge AI server
    • GPU-accelerated for generative & multimodal AI
    • Secure, on-premise processing at the edge
    Learn more

    Smart Cities

    Challenges:

    • City-wide video and sensor data create massive bandwidth demands.
    • Reliance on cloud adds latency to safety-critical applications.
    • Scalability needed to manage growing IoT and surveillance systems.

    Physical AI Solutions:

    • Localized AI inference for traffic, surveillance, and utilities without cloud dependency.
    • Multimodal AI to combine video, IoT, and telemetry data for real-time city intelligence.
    • Rugged edge servers for reliable operation in diverse urban environments.

    Technologies behind the solution:

    LLM-1U-RPL Series

    The LLM Series edge AI servers are built for real-time generative and multimodal AI, delivering low-latency inference and secure on-premise processing without cloud reliance. With a short-depth 1U design and GPU acceleration, they bring advanced AI capabilities closer to data for industrial, enterprise, and field deployments.

    • Short-depth 1U edge AI server
    • GPU-accelerated for generative & multimodal AI
    • Secure, on-premise processing at the edge
    Learn more

    Enterprise AI

    Challenges:

    • Rising demand for private LLMs due to data privacy concerns.
    • High cloud costs for training and inference at scale.
    • Need for customizable infrastructure to support specific AI workflows.

    Physical AI Solutions:

    • Private LLM deployment with on-prem 1U–3U rackmount edge servers.
    • Hybrid edge-cloud models for cost optimization and workload flexibility.
    • Scalable GPU acceleration for multimodal AI and enterprise analytics.

    Technologies behind the solution:

    LLM-1U-RPL Series

    The LLM Series edge AI servers are built for real-time generative and multimodal AI, delivering low-latency inference and secure on-premise processing without cloud reliance. With a short-depth 1U design and GPU acceleration, they bring advanced AI capabilities closer to data for industrial, enterprise, and field deployments.

    • Short-depth 1U edge AI server
    • GPU-accelerated for generative & multimodal AI
    • Secure, on-premise processing at the edge
    Learn more

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