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100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

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100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

Name: 100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB
Brand: NVIDIA
Price: 1 USD

Best 100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB wholesale

Brand Name : NVIDIA

Model Number : Jetson orin NX 16G module

Place of Origin : USA

MOQ : 1PCS

Price : To be discussed

Payment Terms : L/C, D/A, D/P, T/T

Delivery Time : 15-30 work days

Packaging Details : 69.6mm x 45mm 260-pin SO-DIMM connector

NAME : 100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

Keyword : 100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

AI Performance : 100 TOPS

GPU : 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

CPU : 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3

Memory : 16GB 128-bit LPDDR5 102.4GB/s

PCIe : 1 x4 + 3 x1 (PCIe Gen4, Root Port, & Endpoint)

USB : 3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0

Display : 1x 8K30 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1

Other I/O : 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs

Power : 10W - 25W

Mechanical : 69.6mm x 45mm 260-pin SO-DIMM connector

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100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

NVIDIA Jetson AGX Orin NX 16GB Module

NVIDIA Jetson Orin NX modules deliver up to 100 TOPS of AI performance in the smallest Jetson form factor, with power configurable between 10W and 25W. This gives you up to 3X the performance of Jetson AGX Xavier and up to 5X the performance of Jetson Xavier NX.

100 TOPS Embedded Nvidia Ai Module Jetson Orin NX Module 16GB

AI is Now Everywhere

As businesses across industries grapple with vast amounts of data, more complex operations, and more dynamic markets, edge AI is playing a growing role in helping them rapidly respond. Through a combination of computing power, AI technology, data analytics, and advanced connectivity, the edge extends compute capabilities from data centers out to the edge of networks, allowing organizations to act quickly on data where it’s captured. Reducing the distance between where data is captured and where it’s processed not only alleviates data transit costs, but also improves latency, bandwidth utilization, and infrastructure costs.

NVIDIA Jetson AGX Orin NX 16GB Module Technical Specifications

Brand	NVIDIA
Module	NVIDIA Jetson AGX Orin NX 16GB
AI Performance	100 TOPS
GPU	1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
GPU Max Frequency	918 MHz
CPU	8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
CPU Max Frequency	2 GHz
DLA Max Frequency	614 MHz
DL Accelerator	2x NVDLA v2
Vision Accelerator	1x PVA v2
Safety Cluster Engine	-
Memory	16GB 128-bit LPDDR5 102.4GB/s
Storage	- (Supports external NVMe)
Camera	Up to 4 cameras (8 via virtual channels***) 8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20Gbps)
Video Encode	1x 4K60 (H.265) 3x 4K30 (H.265) 6x 1080p60 (H.265) 12x 1080p30 (H.265)
Video Decode	1x 8K30 (H.265) 2x 4K60 (H.265) 4x 4K30 (H.265) 9x 1080p60 (H.265) 18x 1080p30 (H.265)
PCIe	1 x4 + 3 x1 (PCIe Gen4, Root Port, & Endpoint)
USB	3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0
Networking	1x GbE
Power	10W - 25W
Display	1x 8K30 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1
Other I/O	3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs
Mechanical	69.6mm x 45mm 260-pin SO-DIMM connector

Addressing the Requirements of Edge AI

AI at the edge comes with a unique set of requirements. Edge systems, dispersed across vast physical distances, lack the centrality that a data center presents. Software or system updates either need to be performed manually or to be centrally managed to easily deploy, manage, and scale software across vast fleets of devices. Moreover, the security requirements for edge computing infrastructure differ from cloud or data center computing models. Edge locations lack the physical security that data centers have, so an end-to-end security model that protects both the application intellectual property and the sensor data is paramount for a successful deployment.

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