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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.
| 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 |
| 1 | Jetson Orin NX 16GB Module |
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.
Waveshare-24056 is the NVIDIA Jetson Orin NX 16GB module listing for compact high-performance edge AI module integration.
This SKU is the Jetson Orin NX 16GB version. The 8GB version has different CPU, DLA, memory, and AI performance specifications.
The standard NVIDIA Jetson Orin NX 16GB configuration provides up to 100 TOPS. Super-mode performance depends on supported software and system configuration.
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.
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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