• This is a compact system-on-module (SoM) from NVIDIA in the Jetson “Orin NX” family — part number 900-13767-0000-000.
• It’s designed for edge AI, robotics, smart devices, drones, sensor-fusion systems — high performance in a small form factor.
• Key highlight: “16 GB” variant (16 GB LPDDR5), 8-core Arm Cortex-A78AE CPU and 1024-core NVIDIA Ampere GPU (32 tensor cores) according to datasheet.
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Key Specifications & Features (listing-ready format)
Here are some of the major specs for this module:
• CPU: 8-core Arm Cortex-A78AE v8.2 64-bit.
• GPU: 1024-core NVIDIA Ampere architecture GPU, 32 tensor cores.
• Memory: 16 GB LPDDR5 (128-bit) on module.
• Memory bandwidth: Approx 102 GB/s (for the 16 GB variant) according to datasheet.
• Power modes: Configurable—module supports 10W, 15W, 25W modes (for the 16 GB version) according to datasheet.
• Form factor / Connector: 69.6 mm × 45 mm, 260-pin SO-DIMM style connector.
• I/O: Supports high speed interfaces including PCIe Gen4, multiple sensor/camera MIPI CSI-2 lanes, display outputs, USB etc.
• Use case / performance: Up to ~100 TOPS (Sparse INT8) performance on the 16GB module.
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This module is a strong candidate because:
• High compute in small form factor: It gives you serious AI/vision/embedded processing power in a small footprint.
• Edge-capable: It supports low power modes (10–25W) so good for mobile or constrained systems (like drones or robotics).
• Memory size: 16GB on module gives you flexibility for complex models, multi-sensor fusion, and future-proofing compared to smaller modules.
• AI/vision ready: With the Ampere GPU + tensor cores + strong CPU + I/O support, you can deploy computer vision, sensor fusion, robotics workloads.
• Ecosystem: Being NVIDIA Jetson means you get the software stack (JetPack, Isaac, etc.), which helps accelerate development.
The Jetson Orin NX 16 GB (900-13767-0000-000) is a high-performance, compact SoM aimed at edge AI, vision, robotics and autonomous systems. With 16 GB of LPDDR5, an 8-core Cortex-A78AE CPU, 1024-core Ampere GPU and strong I/O and performance (~100 TOPS), it gives you serious compute in a carrier board module. If you’re building systems with drones, sensors, robotics or high-tech embedded applications, this module is an excellent choice — provided you are comfortable with integration work (power, cooling, carrier board).
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