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Waveshare NVIDIA Jetson Orin NX 16GB eMMC

Waveshare NVIDIA Jetson Orin NX 16GB eMMC

$1,281.00 $148.00
DescriptionThe NVIDIA Jetson Orin NX 16GB module is a compact high-performance edge AI module for…

Description

The NVIDIA Jetson Orin NX 16GB module is a compact high-performance edge AI module for robotics, autonomous machines, industrial vision, smart cameras, AI gateways, and embedded inference products. Waveshare-24056 is the Jetson Orin NX 16GB eMMC listing, using NVIDIA Ampere GPU architecture, 1024 CUDA cores, 32 Tensor Cores, 16GB LPDDR5 memory, 2x NVDLA v2, 1x PVA v2, and the Nano-size 260-pin SO-DIMM module form factor.

The Jetson Orin NX 16GB module delivers up to 100 TOPS of AI performance in the standard configuration, with a supported software upgrade path to Jetson Orin NX Super performance when the correct image, JetPack release, power mode, and thermal design are used. For teams building an edge AI module, the NVIDIA Jetson Orin NX 16GB provides high AI throughput, advanced accelerator resources, modern camera input, PCIe Gen4 expansion, USB, display, networking, and NVIDIA JetPack SDK workflows in a compact module.

Because the NVIDIA Jetson Orin NX 16GB is a system-on-module rather than a complete developer kit, it is suited for product teams building custom carrier boards or integrating with compatible Jetson Orin NX carrier hardware. The Jetson Orin NX 16GB module is a practical edge AI module choice when a project needs the higher-memory Orin NX option, stronger AI performance than the 8GB version, and a small 69.6mm x 45mm module footprint.

Features

  • NVIDIA Jetson Orin NX 16GB: compact AI system-on-module for robotics, industrial vision, and autonomous machines.
  • Up to 100 TOPS AI performance: supports demanding AI inference, multi-camera pipelines, and advanced edge AI workloads.
  • Jetson Orin NX Super upgrade path: official materials describe higher Super-mode performance when the supported software image and system configuration are used.
  • NVIDIA Ampere GPU: 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores.
  • 8-core Arm CPU: Arm Cortex-A78AE v8.2 64-bit CPU complex for advanced embedded AI applications.
  • 16GB LPDDR5 memory: 128-bit LPDDR5 memory with 102.4GB/s bandwidth for high-throughput edge AI module workloads.
  • Dedicated accelerators: includes 2x NVDLA v2 and 1x PVA v2 for efficient AI and vision processing.
  • Compact module design: 69.6mm x 45mm Nano-size module with 260-pin SO-DIMM connector.
  • NVIDIA JetPack SDK support: enables Jetson Linux, CUDA, AI frameworks, accelerated multimedia, and NVIDIA developer workflows.

Specifications

SKU Waveshare-24056
Product NVIDIA Jetson Orin NX 16GB eMMC
Module Jetson Orin NX 16GB
AI Performance Up to 100 TOPS standard; Super-mode performance depends on supported image and configuration
GPU 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
CPU 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 plus 4MB L3
DLA / PVA 2x NVDLA v2 and 1x PVA v2
Memory 16GB 128-bit LPDDR5, 102.4GB/s
Storage Supports external NVMe through compatible carrier board
Power 10W to 25W standard power profiles, with higher Super-mode profiles depending on configuration
PCIe 1 x4 plus 3 x1 PCIe Gen4, Root Port and Endpoint support
USB 3x USB 3.2 10Gbps and 3x USB 2.0 through compatible carrier board
CSI 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, 3x 4K30, 6x 1080p60, 12x 1080p30 H.265
Video Decode 1x 8K30, 2x 4K60, 4x 4K30, 9x 1080p60, 18x 1080p30 H.265
Display 1x 8K30 multi-mode DP 1.4a / eDP 1.4a / HDMI 2.1
Networking 1x Gigabit Ethernet through compatible carrier board
Mechanical 69.6mm x 45mm, 260-pin SO-DIMM connector

Applications

  • Robotics and autonomous machine designs using the NVIDIA Jetson Orin NX 16GB module.
  • Industrial vision, AI inspection, smart cameras, and multi-camera inference systems.
  • Edge AI gateways, intelligent transportation, smart city devices, and retail analytics.
  • High-performance embedded AI products requiring the higher-memory Jetson Orin NX 16GB compute option.
  • Carrier-board development for systems that need PCIe, CSI cameras, USB, display, and NVIDIA JetPack SDK.

Product List

1 Jetson Orin NX 16GB Module

Other Content

16GB variant note: Waveshare-24056 refers to the NVIDIA Jetson Orin NX 16GB version. Do not mix this SKU with the 8GB Jetson Orin NX variant, which has different CPU, DLA, memory, and AI performance specifications.

Super-mode note: Jetson Orin NX Super performance requires the supported software image, NVIDIA JetPack SDK version, carrier-board configuration, power profile, and thermal design. Validate the full system before deployment.

Integration note: Confirm carrier board pinout, UPHY lane configuration, camera lanes, NVMe support, display output, power budget, and cooling before integrating the Jetson Orin NX 16GB module into a product.

Selection note: Choose the NVIDIA Jetson Orin NX 16GB when an edge AI module needs 16GB LPDDR5 memory, 100 TOPS class AI performance, PCIe Gen4, camera input, compact size, and NVIDIA JetPack SDK compatibility.

Resources

  • Waveshare Jetson Orin NX Wiki
  • NVIDIA JetPack SDK
  • NVIDIA Jetson Download Center
  • NVIDIA Jetson Ecosystem

FAQ

What is Waveshare-24056?

Waveshare-24056 is the NVIDIA Jetson Orin NX 16GB module listing for compact high-performance edge AI module integration.

Is this the 16GB or 8GB Jetson Orin NX?

This SKU is the Jetson Orin NX 16GB version. The 8GB version has different CPU, DLA, memory, and AI performance specifications.

How much AI performance does Jetson Orin NX 16GB provide?

The standard NVIDIA Jetson Orin NX 16GB configuration provides up to 100 TOPS. Super-mode performance depends on supported software and system configuration.

Is this a complete developer kit?

No. The NVIDIA Jetson Orin NX 16GB is a module. A compatible carrier board, cooling solution, power supply, software image, and peripherals may be required.

Does it support NVIDIA JetPack SDK?

Yes. The Jetson Orin NX 16GB module supports NVIDIA JetPack SDK workflows including Jetson Linux, CUDA, AI frameworks, and accelerated multimedia.

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