Jetson Orin Nano New Generation Embedded Smart T201S AI Edge Computer
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Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer The Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer is an advanced AI edge computing platform designed for developers, engineers, makers, and innovators working on intelligent systems. Built around the powerful NVIDIA Jetson Orin Nano module, this embedded AI computer delivers strong performance for real-time machine learning, computer vision, autonomous robotics, and smart IoT applications. It provides a ready-to-use hardware foundation that simplifies development and testing, helping you accelerate your projects from prototype to deployment. This AI edge computer is ideal for use in robotics, automated systems, smart surveillance, and industrial IoT where on-device inferencing and low-latency processing are critical. It supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK, giving you flexibility to run neural networks efficiently at the edge without relying on cloud resources. Whether you are building smart machines, AI-powered sensors, or embedded vision systems, the T201S offers reliable performance and broad ecosystem support to bring your AI ideas to life. Features: Built around the NVIDIA Jetson Orin Nano module for powerful edge AI performance Provides real-time AI processing for computer vision, robotics, and automation Supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK Multiple I/O interfaces for cameras, sensors, displays, and peripherals Ideal for smart IoT devices, autonomous systems, and embedded AI applications Compact and energy-efficient design for both prototyping and deployment
- Powered by NVIDIA Jetson Orin Nano for edge AI computing
- Up to 67 TOPS performance in Super Mode for demanding workloads
- Ideal for robotics, vision systems, and smart IoT applications
- Supports HDMI display, CSI cameras, USB 3.0 peripherals, and NVMe storage
- Compact embedded edge computer for prototyping and deployment
- Compatible with TensorFlow, PyTorch, and NVIDIA JetPack SDK
- AI Power 34 TOPS / 67 TOPS (Super Mode)
- CPU 6-Core Arm Cortex-A78AE v8.2 64-bit CPU (1.7GHz)
- GPU 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (1020 MHz)
- Memory 4GB / 8GB 128-bit LPDDR5, 51 GB/s / 102.4 GB/s
- Storage 128GB NVMe
- Video Encoding 1080p30 supported by 1–2 CPU cores
- Video Decoding 1× 4K60 (H.265), 11× 1080p30 (H.265)
- USB Ports 4× USB 3.0 Type-A, 1× USB 2.0 Type-C
- Network Interface 1× RJ45 Gigabit Ethernet
- Wireless M.2 Key E (WiFi/BT)
- Display Interface HDMI 1.4, HDMI 2.1
- Camera Interface 2× 22-pin 2-channel MIPI CSI-2 camera ports
- Other I/O 40-pin connectors (UART, SPI, I2S, I2C, PWM, GPIO) + 16-pin connectors (PWR, REC, RST, UART, LED, CAN)
- Power Input DC 9–19V / 3.5A
- Environment Temperature 0°C to +60°C
- Design Power Consumption 7W–10W / 7W–15W / 25W (max)
- Dimensions 131mm (W) × 100mm (H) × 52mm (D)