- Product id: 3957
- Stock: In Stock
- Brand: Plink
- Model: Orin nano4G-DEV-128G
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Key Features
- AI Performance: 20 TOPS (INT8)
- GPU: 512-core NVIDIA Ampere GPU with 16 Tensor Cores
- CPU: 6-core Arm® Cortex-A78AE v8.2 64-bit
- CPU Max Frequency: 1.5 GHz
- Memory: 4 GB LPDDR5, 64-bit, ~32 GB/s
| Specification | Details |
|---|---|
| Product Name | NVIDIA Jetson Orin Nano 4G 20T Developer Kit (Orin Nano4G‑DEV‑128G) |
| Module | NVIDIA Jetson Orin Nano 4GB SoM |
| AI Performance | ~20 TOPS (INT8) |
| GPU | 512-core NVIDIA Ampere GPU with 16 Tensor Cores |
| CPU | 6-core Arm® Cortex-A78AE v8.2 64-bit |
| CPU Max Frequency | ~1.5 GHz |
| Memory | 4 GB LPDDR5, 64-bit, ~32 GB/s |
| Storage | 128 GB eMMC onboard; supports external NVMe via M.2 |
| PCIe | PCIe lanes for high-speed expansion |
| USB Ports | Multiple USB 3.2 and USB 2.0 ports |
| Camera Interface | MIPI CSI-2 connectors for multiple cameras |
| Video Encode/Decode | 1080p30 encoding; 4K decode support |
| Display Output | HDMI 2.1, DisplayPort (via carrier board) |
| Networking | 1 × Gigabit Ethernet |
| I/O Interfaces | UART, SPI, I2C, CAN, GPIO, PWM, Audio, DMIC |
| Power Consumption | 7–10 W typical |
| Form Factor | SO-DIMM style Jetson Nano module on developer carrier board |
| Software Support | NVIDIA JetPack SDK (Linux + AI libraries) |
Description:
The NVIDIA Jetson Orin Nano 4G 20T Developer Kit (Orin Nano4G‑DEV‑128G) is a compact and energy-efficient AI development platform designed for robotics, computer vision, and intelligent edge applications. It features the Jetson Orin Nano 4GB module, which combines a 6-core Arm® Cortex-A78AE CPU with a 512-core NVIDIA Ampere GPU featuring 16 Tensor Cores, delivering approximately 20 TOPS of AI performance for real-time inference and embedded AI workloads.
The kit comes with 128 GB eMMC onboard storage and expandable external NVMe support, enabling developers to handle large datasets efficiently. The developer board exposes multiple interfaces, including USB 3.2 ports, Gigabit Ethernet, MIPI CSI-2 camera connectors, HDMI, and DisplayPort outputs, allowing full integration with sensors, peripherals, and displays. Standard embedded interfaces such as UART, SPI, I2C, CAN, GPIO, and PWM provide flexibility for robotics and custom hardware solutions.
Operating efficiently at 7–10 W, the kit supports the NVIDIA JetPack SDK, offering a full Linux environment with access to CUDA, TensorRT, and cuDNN libraries. This makes it ideal for rapid prototyping and deployment of AI applications, including autonomous machines, smart cameras, IoT devices, and other edge AI solutions where compact size, low power, and performance are critical.
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