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NVIDIA

NVIDIA 900-13767-0000-000 | Jetson Orin NX 16GB AI Module, 100 TOPS, 10-25W

SKU:900-13767-0000-000

Stock Status: Enquire

$1,506.62 inc. GST
$1,369.65 ex. GST
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Description

The NVIDIA Jetson Orin NX 16GB is a compact system-on-module delivering up to 100 TOPS of AI performance with configurable power between 10W and 25W. Built on NVIDIA Ampere architecture with a 1024-core GPU, 32 Tensor Cores, and an 8-core Arm Cortex-A78AE CPU, it supports multiple concurrent AI pipelines for robotics, edge AI, vision processing, and autonomous machines. Ideal for space-constrained applications requiring high-performance AI inference in drones, handheld devices, industrial automation, and smart city deployments.

Features

Up to 100 TOPS AI inference performance with NVIDIA Ampere GPU architecture
- 1024 CUDA cores and 32 Tensor Cores for accelerated deep learning
- 8-core Arm Cortex-A78AE CPU with 2MB L2 and 4MB L3 cache
- 16GB LPDDR5 memory with 102.4 GB/s bandwidth for high-throughput workloads
- Dual NVDLA v2.0 deep learning accelerators for efficient neural network inference
- Vision accelerator engine (PVA v2.0) for computer vision processing
- Hardware-accelerated video encoding and decoding up to 4K UHD resolution
- Supports H.265 (HEVC), H.264, VP9, and AV1 video codecs
- PCIe Gen4 x4 interface for high-speed storage and peripheral expansion
- MIPI CSI-2 camera interfaces supporting up to 8 lanes for multi-camera systems
- USB 3.2 Gen 2, UART, SPI, I2C, and GPIO interfaces
- Configurable power modes from 10W to 40W for thermal and power optimization
- Extended operating temperature range (-25°C to +105°C) for industrial applications
- Compact 70mm x 45mm form factor for space-constrained designs
- TrustZone security, 128-bit AES encryption, and secure boot support

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

GPU: 1024-core NVIDIA Ampere architecture with 32 Tensor Cores
- CPU: 8-core Arm Cortex-A78AE v8.2 64-bit, up to 2 GHz
- Memory: 16GB 128-bit LPDDR5, up to 102.4 GB/s bandwidth
- AI Performance: Up to 100 TOPS (INT8), 50 TOPS sparse
- Deep Learning Accelerators: 2x NVDLA v2.0 engines
- Video Encode/Decode: 2x NVENC and NVDEC engines, up to 4K UHD resolution
- Power: Configurable from 10W to 25W module power
- Input Voltage: 5V–20V
- Operating Temperature: -25°C to +105°C (TJ)
- Form Factor: 70mm x 45mm, 260-pin SO-DIMM connector
- Supported APIs: CUDA 11.4+, OpenGL 4.6, Vulkan 1.1, OpenGL ES 3.2
- I/O: PCIe Gen4, USB 3.2, MIPI CSI-2, UART, SPI, I2C, GPIO
- Storage Support: NVMe via PCIe
- Video Output: HDMI, DisplayPort

FAQs

Q: What carrier board is required for the Jetson Orin NX module?
A: The Jetson Orin NX module uses a 260-pin SO-DIMM connector and requires a compatible carrier board to access I/O, power, and peripherals. NVIDIA and third-party vendors offer various carrier boards with different feature sets for development and production applications.

Q: What AI frameworks and software are supported?
A: The module runs the NVIDIA JetPack SDK with support for CUDA, TensorRT, cuDNN, Isaac for robotics, DeepStream for vision AI, Riva for conversational AI, and TAO Toolkit for transfer learning. It supports popular frameworks like TensorFlow, PyTorch, and ONNX.

Q: How does the 16GB model compare to the 8GB Jetson Orin NX?
A: The 16GB variant features an 8-core CPU versus the 8GB model's 6-core CPU, provides twice the memory capacity, includes 2x NVDLA engines versus 1x, and delivers 100 TOPS AI performance compared to 70 TOPS on the 8GB version.

Q: What are typical use cases for this module?
A: The Jetson Orin NX 16GB is designed for edge AI applications including autonomous mobile robots, industrial inspection systems, smart cameras, drones, medical imaging devices, retail analytics, agricultural automation, and multi-sensor fusion applications requiring compact form factor and low power consumption.

Q: Can the power modes be configured?
A: Yes, the module supports multiple configurable power modes including 10W, 15W, 25W, and 40W (MAXN) modes, allowing developers to balance performance and power consumption based on thermal constraints and application requirements.

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