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Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485
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SKU: TES-EV00082050
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Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485
The T506S is a compact edge AI computing platform powered by NVIDIA Jetson Xavier NX processor, designed for real-time AI inference and machine learning applications in industrial and IoT environments. This rugged mini computer is widely used by system integrators, roboticists, and industrial automation engineers who require GPU-accelerated processing with multiple network connectivity options in a space-constrained deployment. It solves the critical challenge of running sophisticated AI models locally at the edge without relying on cloud connectivity, enabling low-latency decision-making for surveillance, autonomous systems, and predictive maintenance applications.
Product Overview
The T506S leverages the NVIDIA Jetson Xavier NX's 8-core ARM processor with 8GB LPDDR4x memory and integrated 384-core NVIDIA GPU, delivering 21 TFLOPS of AI performance within a 10W thermal envelope. This architecture enables parallel processing of complex neural networks while maintaining exceptional power efficiency, making it ideal for battery-backed or thermally-constrained installations. The device runs NVIDIA JetPack SDK, providing optimized libraries for TensorRT, CUDA, and cuDNN, allowing developers to deploy pre-trained models from popular frameworks like PyTorch and TensorFlow with minimal optimization overhead.
The T506S distinguishes itself through its industrial-grade connectivity suite featuring five independent PoE Gigabit RJ45 ports, enabling simultaneous connection to multiple IP cameras, sensors, or network devices while powering them directly through Ethernet. The 128GB SSD provides substantial local storage for model weights, inference caches, and edge analytics data, while four USB 3.0 ports and dual serial interfaces (RS232/485) ensure compatibility with legacy industrial equipment and specialized sensors. The fanless design with aluminum chassis ensures silent operation and reliability in harsh environments, making it suitable for outdoor surveillance, manufacturing floors, and remote monitoring stations.
Key Specifications
| Specification | Details |
| Product Type | Mini Edge AI Computer / Embedded GPU System |
| Processor | NVIDIA Jetson Xavier NX 8-core ARM64 |
| GPU | 384-core NVIDIA GPU, 21 TFLOPS AI Performance |
| Memory | 8GB LPDDR4x RAM |
| Storage | 128GB SSD (M.2 NVMe) |
| Network Interfaces | 5x Gigabit RJ45 PoE Ports (802.3af/at) |
| USB Ports | 4x USB 3.0 Type-A Ports |
| Serial Interfaces | 1x RS232 + 1x RS485 |
| Power Consumption | 10W Typical (Xavier NX), 65W Peak System |
| Operating System | NVIDIA JetPack 4.6+ (Ubuntu 18.04/20.04 based) |
| Cooling | Fanless Passive with Aluminum Chassis |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
Key Features
- NVIDIA Jetson Xavier NX GPU with 21 TFLOPS peak performance enables real-time inference of complex deep learning models including object detection, semantic segmentation, and pose estimation at 30+ FPS
- Five independent PoE Gigabit Ethernet ports support simultaneous multi-camera feeds with integrated power delivery, eliminating separate power infrastructure for IP cameras and networked sensors
- 128GB NVMe SSD provides high-speed local storage for model caching, video buffering, and edge analytics data logging without network dependency
- Dual serial interfaces (RS232/485) enable direct integration with legacy industrial PLCs, MODBUS devices, and analog sensor gateways for comprehensive edge data aggregation
- Fanless passive cooling design ensures silent operation and zero maintenance in sensitive environments like hospitals, libraries, and clean rooms
- NVIDIA JetPack SDK includes optimized TensorRT runtime for 5-10x faster inference compared to CPU-only deployment
Applications and Use Cases
- Intelligent Video Surveillance: Deploy multi-stream real-time object detection and facial recognition across five IP cameras simultaneously with on-device processing, reducing bandwidth consumption by 70% compared to cloud-based solutions
- Autonomous Mobile Robots: Process LiDAR and camera sensor data for SLAM, obstacle avoidance, and path planning with sub-100ms latency, enabling responsive navigation in dynamic environments
- Predictive Maintenance in Manufacturing: Analyze vibration and thermal sensor data from industrial equipment using trained neural networks to predict bearing failures 2-4 weeks in advance, reducing unplanned downtime
- Smart City IoT Hubs: Aggregate data from environmental sensors, traffic counters, and air quality monitors across multiple RS485 buses while running local anomaly detection to trigger alerts without constant cloud connectivity
- Medical Imaging Analysis: Process ultrasound, X-ray, or endoscopy video streams for real-time diagnostic assistance with HIPAA-compliant on-device processing, keeping sensitive patient data local
- Agricultural Crop Monitoring: Run plant disease detection and pest identification models on drone imagery in remote field locations using the fanless design and low power consumption for battery-backed operation
How to Use
Begin by connecting the T506S to power and your primary network via one of the five PoE ports. Access the device via SSH using the default credentials, then update JetPack to the latest version using apt-get to ensure all NVIDIA drivers and CUDA libraries are current. Install your preferred AI framework (PyTorch, TensorFlow, or ONNX Runtime) from NVIDIA's optimized repositories, then convert your trained models to TensorRT format for maximum performance. For multi-camera deployments, configure each PoE port independently in your network settings, then use GStreamer or OpenCV with CUDA acceleration to create parallel inference pipelines that distribute processing across the GPU.
For industrial integration, configure the RS232 interface at 9600 baud for legacy equipment communication using standard serial libraries, and set up the RS485 port for MODBUS RTU protocol if connecting to PLC systems. Utilize the four USB 3.0 ports for additional sensors like thermal cameras, depth sensors, or external storage for high-frequency data logging. Implement edge analytics by storing inference results and sensor telemetry in a local SQLite or PostgreSQL database on the 128GB SSD, then periodically sync critical insights to cloud platforms via the Ethernet connection. Monitor system temperature and GPU utilization using NVIDIA's tegrastats tool to optimize model batch sizes and inference scheduling for your specific workload.
Frequently Asked Questions
Can the T506S handle multiple video streams simultaneously from all five cameras?
Yes, the Jetson Xavier NX GPU can process multiple video streams in parallel. With proper optimization using TensorRT and GStreamer, you can typically run 4-5 concurrent 1080p@30fps inference pipelines simultaneously. For higher resolution or frame rates, implement frame skipping or resolution reduction strategies. The five PoE ports provide independent network bandwidth for each camera, eliminating bottlenecks at the input stage.
What is the maximum power draw when running intensive AI models?
The Jetson Xavier NX itself operates within a 10W thermal design power envelope, but the complete T506S system including SSD, network interfaces, and serial modules draws approximately 40-65W under peak load depending on PoE power delivery to connected devices. If powering five IP cameras via PoE, budget approximately 15W per camera, requiring a 100W+ external power supply. Always use the recommended power adapter to prevent voltage sag during simultaneous high-load operations.
How do I deploy custom trained models on the T506S?
Export your model from PyTorch, TensorFlow, or another framework to ONNX format, then use TensorRT's conversion tools to optimize for the Xavier NX architecture. This typically provides 5-10x speedup over native framework inference. Transfer the optimized .trt file to the device via SCP, then load and run inference using TensorRT's Python API. NVIDIA provides comprehensive documentation and sample code in the JetPack SDK for this workflow.
Is the T506S suitable for outdoor installation?
The aluminum chassis provides basic environmental protection, but for true outdoor deployment, house the device in an IP65-rated enclosure with thermal management. The fanless design is advantageous outdoors as it eliminates dust ingestion issues. Ensure all Ethernet and serial connections use shielded, weatherproof connectors. The low power consumption makes battery-backed operation feasible for remote locations with intermittent power availability.
Can I use the RS485 interface with MODBUS devices?
Yes, the RS485 port is fully compatible with MODBUS RTU protocol. Configure the serial port at the appropriate baud rate (typically 9600-19200) and use Python libraries like pymodbus or minimalmodbus for easy integration. The T506S can act as a MODBUS master, polling multiple slave devices on the same RS485 bus and aggregating their data for AI-based analytics or cloud synchronization.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
-
Buy Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 Online in India
Purchase the Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 online at The Engineer Store, India's trusted source for genuine electronics and professional equipment. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 with fast shipping, expert technical support, and the assurance of 100% authentic products from authorized distributors.
Whether you are a professional engineer, researcher, student, or electronics enthusiast, The Engineer Store provides the technical expertise and product quality you need. Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.
Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485
The T506S is a compact edge AI computing platform powered by NVIDIA Jetson Xavier NX processor, designed for real-time AI inference and machine learning applications in industrial and IoT environments. This rugged mini computer is widely used by system integrators, roboticists, and industrial automation engineers who require GPU-accelerated processing with multiple network connectivity options in a space-constrained deployment. It solves the critical challenge of running sophisticated AI models locally at the edge without relying on cloud connectivity, enabling low-latency decision-making for surveillance, autonomous systems, and predictive maintenance applications.
Product Overview
The T506S leverages the NVIDIA Jetson Xavier NX's 8-core ARM processor with 8GB LPDDR4x memory and integrated 384-core NVIDIA GPU, delivering 21 TFLOPS of AI performance within a 10W thermal envelope. This architecture enables parallel processing of complex neural networks while maintaining exceptional power efficiency, making it ideal for battery-backed or thermally-constrained installations. The device runs NVIDIA JetPack SDK, providing optimized libraries for TensorRT, CUDA, and cuDNN, allowing developers to deploy pre-trained models from popular frameworks like PyTorch and TensorFlow with minimal optimization overhead.
The T506S distinguishes itself through its industrial-grade connectivity suite featuring five independent PoE Gigabit RJ45 ports, enabling simultaneous connection to multiple IP cameras, sensors, or network devices while powering them directly through Ethernet. The 128GB SSD provides substantial local storage for model weights, inference caches, and edge analytics data, while four USB 3.0 ports and dual serial interfaces (RS232/485) ensure compatibility with legacy industrial equipment and specialized sensors. The fanless design with aluminum chassis ensures silent operation and reliability in harsh environments, making it suitable for outdoor surveillance, manufacturing floors, and remote monitoring stations.
Key Specifications
| Specification | Details |
| Product Type | Mini Edge AI Computer / Embedded GPU System |
| Processor | NVIDIA Jetson Xavier NX 8-core ARM64 |
| GPU | 384-core NVIDIA GPU, 21 TFLOPS AI Performance |
| Memory | 8GB LPDDR4x RAM |
| Storage | 128GB SSD (M.2 NVMe) |
| Network Interfaces | 5x Gigabit RJ45 PoE Ports (802.3af/at) |
| USB Ports | 4x USB 3.0 Type-A Ports |
| Serial Interfaces | 1x RS232 + 1x RS485 |
| Power Consumption | 10W Typical (Xavier NX), 65W Peak System |
| Operating System | NVIDIA JetPack 4.6+ (Ubuntu 18.04/20.04 based) |
| Cooling | Fanless Passive with Aluminum Chassis |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
Key Features
- NVIDIA Jetson Xavier NX GPU with 21 TFLOPS peak performance enables real-time inference of complex deep learning models including object detection, semantic segmentation, and pose estimation at 30+ FPS
- Five independent PoE Gigabit Ethernet ports support simultaneous multi-camera feeds with integrated power delivery, eliminating separate power infrastructure for IP cameras and networked sensors
- 128GB NVMe SSD provides high-speed local storage for model caching, video buffering, and edge analytics data logging without network dependency
- Dual serial interfaces (RS232/485) enable direct integration with legacy industrial PLCs, MODBUS devices, and analog sensor gateways for comprehensive edge data aggregation
- Fanless passive cooling design ensures silent operation and zero maintenance in sensitive environments like hospitals, libraries, and clean rooms
- NVIDIA JetPack SDK includes optimized TensorRT runtime for 5-10x faster inference compared to CPU-only deployment
Applications and Use Cases
- Intelligent Video Surveillance: Deploy multi-stream real-time object detection and facial recognition across five IP cameras simultaneously with on-device processing, reducing bandwidth consumption by 70% compared to cloud-based solutions
- Autonomous Mobile Robots: Process LiDAR and camera sensor data for SLAM, obstacle avoidance, and path planning with sub-100ms latency, enabling responsive navigation in dynamic environments
- Predictive Maintenance in Manufacturing: Analyze vibration and thermal sensor data from industrial equipment using trained neural networks to predict bearing failures 2-4 weeks in advance, reducing unplanned downtime
- Smart City IoT Hubs: Aggregate data from environmental sensors, traffic counters, and air quality monitors across multiple RS485 buses while running local anomaly detection to trigger alerts without constant cloud connectivity
- Medical Imaging Analysis: Process ultrasound, X-ray, or endoscopy video streams for real-time diagnostic assistance with HIPAA-compliant on-device processing, keeping sensitive patient data local
- Agricultural Crop Monitoring: Run plant disease detection and pest identification models on drone imagery in remote field locations using the fanless design and low power consumption for battery-backed operation
How to Use
Begin by connecting the T506S to power and your primary network via one of the five PoE ports. Access the device via SSH using the default credentials, then update JetPack to the latest version using apt-get to ensure all NVIDIA drivers and CUDA libraries are current. Install your preferred AI framework (PyTorch, TensorFlow, or ONNX Runtime) from NVIDIA's optimized repositories, then convert your trained models to TensorRT format for maximum performance. For multi-camera deployments, configure each PoE port independently in your network settings, then use GStreamer or OpenCV with CUDA acceleration to create parallel inference pipelines that distribute processing across the GPU.
For industrial integration, configure the RS232 interface at 9600 baud for legacy equipment communication using standard serial libraries, and set up the RS485 port for MODBUS RTU protocol if connecting to PLC systems. Utilize the four USB 3.0 ports for additional sensors like thermal cameras, depth sensors, or external storage for high-frequency data logging. Implement edge analytics by storing inference results and sensor telemetry in a local SQLite or PostgreSQL database on the 128GB SSD, then periodically sync critical insights to cloud platforms via the Ethernet connection. Monitor system temperature and GPU utilization using NVIDIA's tegrastats tool to optimize model batch sizes and inference scheduling for your specific workload.
Frequently Asked Questions
Can the T506S handle multiple video streams simultaneously from all five cameras?
Yes, the Jetson Xavier NX GPU can process multiple video streams in parallel. With proper optimization using TensorRT and GStreamer, you can typically run 4-5 concurrent 1080p@30fps inference pipelines simultaneously. For higher resolution or frame rates, implement frame skipping or resolution reduction strategies. The five PoE ports provide independent network bandwidth for each camera, eliminating bottlenecks at the input stage.
What is the maximum power draw when running intensive AI models?
The Jetson Xavier NX itself operates within a 10W thermal design power envelope, but the complete T506S system including SSD, network interfaces, and serial modules draws approximately 40-65W under peak load depending on PoE power delivery to connected devices. If powering five IP cameras via PoE, budget approximately 15W per camera, requiring a 100W+ external power supply. Always use the recommended power adapter to prevent voltage sag during simultaneous high-load operations.
How do I deploy custom trained models on the T506S?
Export your model from PyTorch, TensorFlow, or another framework to ONNX format, then use TensorRT's conversion tools to optimize for the Xavier NX architecture. This typically provides 5-10x speedup over native framework inference. Transfer the optimized .trt file to the device via SCP, then load and run inference using TensorRT's Python API. NVIDIA provides comprehensive documentation and sample code in the JetPack SDK for this workflow.
Is the T506S suitable for outdoor installation?
The aluminum chassis provides basic environmental protection, but for true outdoor deployment, house the device in an IP65-rated enclosure with thermal management. The fanless design is advantageous outdoors as it eliminates dust ingestion issues. Ensure all Ethernet and serial connections use shielded, weatherproof connectors. The low power consumption makes battery-backed operation feasible for remote locations with intermittent power availability.
Can I use the RS485 interface with MODBUS devices?
Yes, the RS485 port is fully compatible with MODBUS RTU protocol. Configure the serial port at the appropriate baud rate (typically 9600-19200) and use Python libraries like pymodbus or minimalmodbus for easy integration. The T506S can act as a MODBUS master, polling multiple slave devices on the same RS485 bus and aggregating their data for AI-based analytics or cloud synchronization.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
-
Buy Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 Online in India
Purchase the Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 online at The Engineer Store, India's trusted source for genuine electronics and professional equipment. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Mini AI Computer T506S powerd by Jetson Xavier NX, 5x PoE Gigabit RJ45, 128GB SSD, 4XUSB3, RS232/485 with fast shipping, expert technical support, and the assurance of 100% authentic products from authorized distributors.
Whether you are a professional engineer, researcher, student, or electronics enthusiast, The Engineer Store provides the technical expertise and product quality you need. Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.