Nvidia Jetson Orin NX 16GB PN:900-13767-0000-000 AI Robotics ARM CPU Ampere GPU

yudr3m
(186)
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C $2,246.99
ApproximatelyS$ 2,084.87
or Best Offer
Condition:
New
10 available
Shipping:
Free Canada Post Tracked Packet - International (Non-US).
Located in: Ottawa, Ontario, Canada
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Delivery:
Estimated between Fri, 2 Jan and Thu, 8 Jan
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Seller ships within 20 days after receiving cleared payment.
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No returns accepted.
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eBay item number:167942729350
Last updated on Nov 21, 2025 10:15:22 SGTView all revisionsView all revisions

Item specifics

Condition
New: A brand-new, unused, unopened, undamaged item in its original packaging (where packaging is ...
Socket Type
Proprietary NVIDIA board-to-board edge connector
CPU Series
Arm Cortex-A78AE
Compatible CPU Brand
Arm ( Arm Cortex-A78AE series)
Number of Memory Slots
0 slots (memory is soldered on-module)
Input/Output Ports
High-Speed I/O, PCIe Gen4 (Up to x8 depending on configuration), M.2 / NVMe support (carrier board dependent), USB 3.2 Gen 2, USB 2.0, 1× Gigabit Ethernet, 10GbE support through carrier board, 2× DisplayPort 1.4 (via carrier board), eDP support, Up to 3× MIPI CSI-2 camera interfaces, Audio / Low-Speed I/O, I²S (audio), I²C, SPI, UART, GPIO pins
CPU Bus Speed
N/A uses NVIDIA high-speed SoC interconnect
Number of CPU Cores
8
Most Suitable For
Robotics & Autonomous Systems, Smart Cities & IoT, Industrial & Edge Computing, Healthcare & Medical AI, Retail & AI-Powered Analytics, High-Performance Edge Computing, AI edge computing, Drones
Memory Type
LPDDR5
Motherboard Brand
NVIDIA
CPU L2 Cache
256 KB per core (≈ 2 MB total)
Form Factor
System-on-Module (SoM), Jetson Orin NX Module
Expansion Slots
None on the module itself, through the carrier board using the module’s exposed I/O, PCIe Gen4 lanes, M.2 slots (if supported by carrier board), High-speed I/O expansion via connectors
CPU L3 Cache
4 MB shared L3 cache
Model
Jetson Orin NX 16GB PN:900-13767-0000-000
CPU Clock Speed
Up to 2.0 GHz (8-core Arm Cortex-A78AE CPU cluster)
Features
8-core Arm Cortex-A78AE (Auto/Embedded safety enhanced), 64-bit ARMv8.2 architecture, Out-of-order superscalar pipeline, Real-time performance profile, L2 + shared L3 cache, Virtualization support (EL2/EL3), Safety features for robotics + autonomous systems, Optimized for high-performance AI edge computing
Category

Item description from the seller

About this seller

yudr3m

100% positive feedback•320 items sold

Joined Sep 2017
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