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Tekdis LLC USA

Industrial AI Computers and Edge AI Hardware in the USA

Tekdis LLC supplies NVIDIA Jetson Orin and Thor systems, rugged edge AI computers, in-vehicle and rail PCs, machine vision cameras and LiDAR for US OEMs, system integrators and engineering teams.

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  • New

    NVIDIA
    Jetson
    Thor

    A Next-Generation
    Platform for
    Edge AI

    New

    NVIDIA
    Jetson
    Thor

    A Next-Generation
    Platform for
    Edge AI

    NVIDIA Jetson Thor is the next-generation platform for robotics and edge AI, delivering powerful computing for the most complex AI workloads at the edge.

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  • AI Edge Computers

    AI Edge Computers

    Tekdis offers a versatile range of embedded solutions tailored for AI and deep learning in various industrial applications.

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  • Rugged AI In-Vehicle PCs

    Rugged AI In-Vehicle PCs

    IP-rated, fanless vehicle computers powered by NVIDIA Jetson platforms, built for rugged edge AI transport, mining, fleet, and industrial mobility applications.

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  • AI/3D Stereo Cameras

    AI/3D Stereo Camera

    AI and 3D stereo cameras designed for machine vision, depth sensing, object detection, robotics, and edge AI applications across industrial, transport, and embedded vision systems.

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  • LiDAR Sensors

    LiDAR Sensors

    LiDAR sensors designed for precise distance measurement, object detection, mapping, navigation, and 3D perception across robotics, transport, automation, and edge AI applications.

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  • Mobile IP Cameras

    Mobile IP Cameras

    Vehicle IP cameras designed for mobile surveillance, fleet monitoring, AI video analytics, driver safety, object detection, and real-time video capture.

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  • Rail Certified AI PCs

    Rail Certified AI PCs

    Rail-certified AI PCs for onboard and trackside edge AI, supporting video analytics, condition monitoring, passenger systems, and intelligent transport applications in rugged rail environments.

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Industrial AI Computer Brands Available from Tekdis LLC

Tekdis LLC supplies deployment-ready edge AI computers from established industrial hardware manufacturers. The right platform depends on the required NVIDIA Jetson module, camera and sensor interfaces, environmental protection, mounting, power input and certification needs.

ASUS IoT rugged AI platforms

ASUS IoT PE1102N and PE1103N rugged fanless systems support Jetson Orin Nano or Orin NX, with configurations for GMSL cameras, GNSS, wireless communications and mobile or industrial vision. Browse AI edge computers.

AI Hardware Partners

Our AI Brands

Tekdis LLC works with proven hardware manufacturers across edge AI computing, NVIDIA Jetson systems, industrial PCs, machine vision, LiDAR and rugged embedded platforms.

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Popular AI Products

ATC3562-IP7-NX4MF NVIDIA Jetson Orin NX Edge AI Computer
ATC3562-IP7-NX4MF NVIDIA Jetson Orin NX Edge AI Computer
  • NVIDIA Jetson Orin NX 8/16GB SoM
  • 4-CH GMSL2, 2 x GbE
  • IP67, DC 9V~36V & 24V, +65°C
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LSLiDAR C4/C8 4/8-Line Mechanical LiDAR
LSLiDAR C4/C8 4/8-Line Mechanical LiDAR
  • Mechanical LiDAR, 4/8 channels, IP67
  • 360° horizontal, ~24° vertical FOV
  • Up to ~120m range
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'Hawk' 3D Stereo Depth Camera with NVIDIA (100mm Baseline)
'Hawk' 3D Stereo Depth Camera with NVIDIA (100mm Baseline)
  • 2.3MP dual global shutters
  • IP67 weather-resistant design
  • 121.5° FOV, 60fps, built-in IMU
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SG8-OX08DC-5300-G2G 8MP GMSL2 Camera
SG8-OX08DC-5300-G2G 8MP GMSL2 Camera
  • 8.3MP OMNIVISION OX08D10
  • Up to 45fps
  • GMSL2 connectivity and IP67
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AI Edge Computers Built for Real-Time Inference

AI edge computers process data locally, close to the cameras, sensors and machines generating it. This reduces latency, lowers bandwidth use and allows critical decisions to happen instantly, even when cloud connectivity is limited or unavailable.

Real-Time Response

Support fast local processing for object detection, defect inspection, driver monitoring and machine control.

Lower Bandwidth Use

Analyze video and sensor data at the edge, sending only useful insights or alerts upstream.

Reliable Operation

Keep AI workloads running in remote, mobile or industrial environments with limited cloud access.

Hardware Integration

Connect cameras, LiDAR, PoE devices, CAN Bus, serial, LAN, GNSS, Wi-Fi and 5G hardware.

NVIDIA Jetson AI Computers for Edge Computing

NVIDIA Jetson combines an Arm CPU, NVIDIA GPU, AI accelerators, memory and high-speed interfaces in a compact module designed for embedded AI. Complete Jetson AI computers add the carrier board, storage, power protection, cooling, enclosure and industrial I/O required for deployment.

Jetson Orin Nano suits compact and lower-power vision systems. Jetson Orin NX provides a substantial performance increase in the same small module format. Jetson AGX Orin supports larger models, heavier multi-camera processing and more complex autonomous machines.

Tekdis LLC supplies complete Jetson-based computers from Axiomtek, NEXCOM and ASUS IoT, including rugged and fanless systems with options for PoE, GMSL cameras, CAN Bus, serial I/O, GNSS, Wi-Fi and 5G.

NVIDIA Jetson Thor for Physical AI and Advanced Robotics

NVIDIA Jetson Thor computers bring Blackwell-generation AI processing to edge applications that require advanced inference, computer vision, generative AI and robotics capability. They are designed for demanding workloads involving larger models, high-speed sensor input and real-time decisions at the edge.

Typical applications include humanoid and mobile robotics, autonomous machines, multi-camera vision, intelligent transportation, vision-language-action models, LiDAR fusion and other sensor-rich physical AI systems.

Tekdis LLC can help determine whether Jetson Thor, Jetson Orin or an x86 industrial GPU computer is the better fit based on model size, input count, software compatibility, power budget, thermal design, mounting and environmental requirements.

Compare NVIDIA Jetson Models for Edge AI

The appropriate Jetson platform depends on model complexity, camera and sensor count, power limits, thermal requirements and required real-time performance. The figures below describe NVIDIA modules; complete industrial computers vary by enclosure, cooling, storage, I/O and certification.

Short answer: choose Jetson Orin Nano for compact, lower-power vision systems; Orin NX for more inference performance in the same small footprint; AGX Orin for larger models and heavier multi-camera workloads; and Jetson Thor for advanced physical AI, generative AI and sensor-rich robotics.

Selected NVIDIA Jetson Orin and Jetson Thor modules used in Tekdis edge AI systems
Jetson platform Peak NVIDIA-rated AI performance Memory Reference module power modes Typical application fit Useful selection signal
Jetson Orin Nano 34 sparse INT8 TOPS (4GB) or 67 sparse INT8 TOPS (8GB) in MAXN SUPER 4GB 64-bit or 8GB 128-bit LPDDR5 4GB: 7W, 10W or 25W
8GB: 7W, 15W or 25W		 Smart cameras, compact inspection systems, entry-level robotics and low-power edge inference You need a small, efficient and cost-conscious AI computer for one or a few vision or sensor workloads.
Jetson Orin NX 117 sparse INT8 TOPS (8GB) or 157 sparse INT8 TOPS (16GB) in MAXN SUPER 8GB or 16GB 128-bit LPDDR5 10W, 15W, 25W or 40W Machine vision, autonomous mobile robots, multi-camera analytics and embedded robotics You need substantially more inference performance than Orin Nano while retaining a compact footprint.
Jetson AGX Orin 157 sparse INT8 TOPS (32GB) or 248 sparse INT8 TOPS (64GB production module) 32GB or 64GB 256-bit LPDDR5 15–60W (32GB) or 15–75W (64GB) High-performance robotics, autonomous machines, advanced video analytics and complex sensor fusion Your application uses larger models, multiple high-resolution inputs or heavier simultaneous AI workloads.
NVIDIA Jetson T4000 (Thor) 1,200 sparse FP4 TFLOPS 64GB 256-bit LPDDR5X, 273GB/s 40–70W Advanced robotics, visual AI agents, real-time sensor processing and multimodal edge AI You need Blackwell-generation AI, 64GB of memory and high-bandwidth sensor processing within the lower-power Thor option shown.
NVIDIA Jetson T5000 (Thor) 2,070 sparse FP4 TFLOPS 128GB 256-bit LPDDR5X, 273GB/s 40–130W Humanoid robotics, vision-language-action models, generative AI and large multi-sensor autonomous systems You need the higher compute and memory capacity of the two Thor options shown for complex models and real-time robotic decision-making.

How to read this comparison: NVIDIA rates the Orin figures in sparse INT8 TOPS and the Thor figures in sparse FP4 TFLOPS. These use different numerical precision and are not direct, like-for-like measures of application speed. Values are peak module specifications, not measured end-to-end performance for a particular model. MAXN SUPER requires a supported software, power and thermal configuration. Power figures are module power modes; total computer power will be higher. Sources: NVIDIA Jetson Orin specifications, NVIDIA Jetson Thor specifications and the NVIDIA Jetson product lifecycle.

When is an industrial GPU computer better than Jetson?

Choose an x86 industrial GPU computer when the project requires replaceable PCIe GPUs, multiple expansion cards, x86 software compatibility or server-class training and inference performance beyond an embedded Jetson platform.

Why Industrial AI Requires Specialized Hardware

Industrial AI computers may need to operate continuously in high temperatures, dusty sites, vibration-prone vehicles, remote installations or production environments where downtime is costly. A standard office PC is rarely designed for these conditions.

Industrial AI computer selection criteria

  • Required duty cycle, including 24/7 operation where applicable
  • Reliable AI inference at the edge
  • Wide operating temperature support
  • Fanless, ruggedized or sealed enclosure design
  • GPU or AI accelerator performance appropriate for the model
  • Camera, sensor, network and industrial I/O requirements
  • Long-term product availability and software support
  • Power input, mounting and certification requirements

Tekdis LLC supplies industrial AI hardware for manufacturing, transportation, rail, robotics, automation, logistics, mining, smart infrastructure, research and other real-world deployments across the United States.

Rugged AI Computers for Vehicles, Rail and Harsh Environments

Standard PCs are not built for vibration, temperature changes, dust, vehicle power conditions or long-term embedded deployment. Industrial AI projects require hardware designed for continuous operation in demanding environments.

Vehicle AI

Rugged AI in-vehicle PCs for fleet intelligence, mobile surveillance, driver monitoring and transport analytics.

Rail AI

Rail certified AI PCs for onboard and trackside systems requiring stable operation in vibration-prone environments.

Industrial AI

AI edge computers for machine vision, automation, robotics, inspection and smart factory projects.

Vision AI

AI-ready systems for camera, LiDAR and sensor integration in real-time detection and monitoring applications.

AI Vision Hardware: Cameras, LiDAR and Mobile IP Cameras

A successful edge AI system depends on more than the computer alone. Cameras, LiDAR sensors and mobile vision hardware must be selected to suit the application, environment and required detection performance.

AI & 3D Stereo Cameras

Support depth sensing, vision recognition, object tracking and AI model input for robotics, automation and smart systems.

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LiDAR Sensors

Enable distance measurement, mapping, obstacle detection and situational awareness for autonomous and industrial applications.

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Mobile Vehicle IP Cameras

Rugged IP camera solutions for vehicle, fleet, transport, public safety, ANPR/LPR and mobile monitoring applications.

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Industrial Applications for Edge AI Hardware

Industrial AI computers combine local processing with cameras, LiDAR, vehicle data and machine interfaces to make time-sensitive decisions without sending every data stream to the cloud.

Machine Vision and Quality Inspection

Edge AI computers process camera feeds locally to detect defects, alignment issues, missing components, surface damage and production errors. These systems help manufacturers improve inspection accuracy and respond faster to quality issues.

Robotics and Autonomous Systems

Robots, AMRs, AGVs and autonomous machines rely on AI computing for object recognition, path planning, obstacle avoidance and sensor fusion using cameras, LiDAR and other sensors.

Intelligent Transport and Fleet Applications

Rugged AI in-vehicle PCs support driver monitoring, passenger counting, vehicle detection, ANPR/LPR, mobile surveillance, fleet analytics and real-time event detection.

Rail AI and Transportation Infrastructure

Rail certified AI PCs are suited to onboard and trackside applications including rail asset inspection, passenger safety, condition monitoring, video analytics and intelligent transportation systems.

Smart Infrastructure and Security

Edge AI hardware can be deployed in smart city, public safety, energy, mining and infrastructure projects for video analytics, perimeter monitoring, traffic analysis and object detection.

AI Vision and Sensor Fusion

Combine AI cameras, 3D stereo cameras, LiDAR and edge AI computers to create systems that understand movement, distance, objects and operating conditions in real time.

Choosing the Right Edge AI Computer

Selecting the right AI computer requires more than comparing TOPS or TFLOPS. The platform must balance model performance, software compatibility, camera and sensor inputs, power, cooling, ruggedness, expansion and lifecycle requirements.

AI Performance

Consider required inference performance, GPU capability, Jetson platform, model size and real-time processing needs.

Camera & Sensor Inputs

Review the number of cameras, LiDAR sensors, PoE devices, USB devices and other data inputs required.

Environment

Match the system to temperature, vibration, dust, mounting, power input and certification requirements.

Lifecycle & Support

Consider long-term availability, integration support, expansion options and project supply requirements.

AI computer selection checklist

  • AI model size, numerical precision and inference performance requirements
  • Number and type of cameras, LiDAR units and other sensors
  • Need for Jetson Orin, Jetson AGX Orin, Jetson Thor or an x86 GPU platform
  • Power input range, total system power budget and cooling requirements
  • PoE, GMSL, 10GbE, CAN Bus, serial, USB or digital I/O requirements
  • Cabinet, DIN rail, wall, vehicle or rack mounting
  • CUDA, TensorRT, JetPack, Linux or x86 software compatibility
  • Operating temperature, ingress protection, vibration and certification needs
  • Product lifecycle, availability and technical support for long-term deployment

Tekdis LLC works with OEMs, engineers, system integrators and project teams across the United States to match AI computing hardware with specific technical and commercial requirements.

AI Computing for Long-Term Industrial Deployment

Industrial AI systems may remain in service for years in factories, vehicles, rail networks, infrastructure sites or remote installations. Product stability, environmental suitability, software compatibility and supply continuity therefore matter alongside peak AI performance.

Industrial AI project support

  • Industrial-grade NVIDIA Jetson AI computers
  • Jetson Thor, Jetson Orin and x86 GPU platform guidance
  • Assistance with product selection and configuration
  • Rugged, fanless, embedded and vehicle computer options
  • Camera, LiDAR, connectivity, storage and industrial I/O integration
  • Long-lifecycle product options where applicable
  • Support for OEM, integrator and enterprise deployments

Whether the project involves machine vision, robotics, transportation, rail, automation or smart infrastructure, Tekdis LLC can help identify an appropriate edge AI platform and supporting hardware. Discuss your AI computer requirements with the Tekdis LLC team.

Source Edge AI Hardware from Tekdis LLC

Tekdis LLC supplies industrial edge AI hardware for companies that need reliable products, technical guidance and responsive support. Our range covers AI computers, Jetson Thor systems, rugged in-vehicle PCs, rail certified AI PCs, LiDAR sensors, AI cameras and mobile IP cameras for demanding applications.

Shop AI Edge Computers Shop AI Vehicle PCs Shop LiDAR Sensors Discuss Your Project

AI Computer and Edge AI FAQs

An AI computer is a computing system designed to run artificial intelligence models for tasks such as computer vision, object detection, robotics, predictive maintenance and autonomous decision-making. Industrial AI computers add deployment features such as rugged construction, wide-temperature operation, industrial I/O and long-term availability.
An edge AI computer runs AI inference close to the cameras, sensors or machines producing the data. Processing locally can reduce latency and bandwidth use, keep sensitive data on site and allow the system to continue operating when cloud connectivity is limited.
Tekdis LLC supplies industrial AI computers, NVIDIA Jetson systems, rugged vehicle and rail PCs, AI cameras and LiDAR sensors to OEMs, system integrators and engineering teams across the United States.
NVIDIA Jetson is used for embedded AI applications including machine vision, robotics, autonomous machines, intelligent transportation, video analytics and sensor fusion. Jetson modules combine an Arm CPU, NVIDIA GPU, AI accelerators and memory in a compact, power-efficient format.
Jetson Thor is a newer Blackwell-generation platform designed for more demanding physical AI, generative AI, large-model and sensor-rich robotics workloads. Jetson Orin remains suitable for many industrial vision, automation and embedded robotics applications that require lower power or a smaller compute platform.
Rugged AI computers are designed for environments where ordinary office PCs may not be reliable. Depending on the model, they can provide fanless cooling, wide-temperature operation, vehicle power support, vibration resistance, sealed enclosures, industrial I/O and longer product availability.
Yes. Edge AI computers can process camera, LiDAR, sensor and machine data locally without relying on a continuous cloud connection. A deployment may still use cloud services for fleet management, model updates, reporting or long-term data storage.
Consider model size and inference performance, camera and sensor inputs, software compatibility, power and cooling, operating temperature, mounting, PoE or GMSL requirements, industrial I/O, wireless connectivity, certifications and expected product lifecycle.
Yes. Tekdis LLC supplies edge AI computers together with AI and stereo cameras, LiDAR sensors, mobile IP cameras, storage, connectivity and related industrial hardware for machine vision, robotics, transport and automation projects.

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