• It is a system-on-module (SoM) from NVIDIA in the Jetson Orin Nano series.
• Model: PN 900-13767-0030-000 (8 GB RAM variant)
• Designed for edge AI / embedded systems: high-performance compute in a compact form for robotics, vision, IoT, drones, etc.
• According to the spec sheet: “up to ~40 TOPS of AI performance” in a power envelope from 7 W to 15 W for this module.
Key Specifications
Here are some of the main specs you’ll want for listing/documentation:
• GPU: 1024-core NVIDIA Ampere architecture + 32 Tensor Cores.
• CPU: 6-core Arm® Cortex-A78AE v8.2 (64-bit).
• Memory: 8 GB LPDDR5, 128-bit.
• Memory bandwidth: ~68 GB/s (for this 8 GB variant) according to some datasheet info.
• External storage support: Supports external NVMe storage (via carrier board).
• PCIe interface: 1× PCIe Gen3 ×4 + 3× PCIe Gen3 ×1 lanes (module side).
• Camera I/O: Up to 4 cameras (8 via virtual channels) with 8-lane MIPI CSI-2 D-PHY 2.1 (up to 20 Gb/s).
• Display/Video: 1× 4K30 DisplayPort 1.2 (+ MST) / eDP 1.4 / HDMI 1.4 output (module side).
• Module size: 69.6 mm × 45 mm; 260-pin SO-DIMM connector.
• Power: 7 W–15 W configurable envelope.
Why It Stands Out / Use-Cases
• The SoM is ideal for embedded AI deployments: robots, autonomous agents, smart cameras, drones, sensor fusion systems, edge-AI gateways.
• This module gives you strong compute in a compact package — especially useful when you need on-device AI inference, vision processing, or real-time data handling.
• Its low power envelope (7-15W) means it can fit into power-sensitive builds (drones, mobile platforms) while still delivering strong performance.
• The module’s support for multiple camera pipelines + high speed I/O makes it very suitable for advanced vision/robotics systems.
The NVIDIA Jetson Orin Nano 8 GB (PN 900-13767-0030-000) is a powerful, compact AI compute SoM with a 6-core Arm CPU, Ampere GPU, 8 GB LPDDR5 memory, and strong I/O in a 69.6 mm × 45 mm form. It’s particularly well-suited for embedded AI, robotics, drones, vision systems, and edge computing platforms where size, power, and performance all matter.
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