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Advanced AI computer for smaller, lower-power autonomous machines
Jetson Orin NX 16GB module delivers up to 100 TOPS of AI performance in a compact and small form factor, with power configurable between 10W and 25W, up to 3X the performance of Jetson AGX Xavier and 5X the performance of Jetson Xavier NX.
Version | 8GB | 16GB |
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AI performance | 70TOPS | 100TOPS |
GPU | 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores | |
GPU Frequency | 765MHz (Max) | 918MHz (Max) |
CPU | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3 | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 2MB L2 + 4MB L3 |
CPU Frequency | 2GHz (Max) | |
DL accelerator | 1x N-VDLA v2 | 2x N-VDLA v2 |
DLA Frequency | 614MHz (Max) | |
Vision Accelerator | 1x PVA v2 | |
Memory | 8GB 128-bit LPDDR5, 102.4GB/s | 16GB 128-bit LPDDR5, 102.4GB/s |
Storage | Supports external NVMe | |
Power | 10W ~ 20W | 10W ~ 25W |
PCIe* | 1 x4 + 3 x1 (PCIe Gen4, Root Port, & Endpoint) | |
USB* | 3x USB 3.2 2.0 (10 Gbps) 3x USB 2.0 |
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CSI Camera | Up to 4 cameras (8 via virtual channels**) 8 lanes MIPI CSI-2 D-PHY 1.2 (up to 20 Gbps) |
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Video encode | 1x 4K60 (H.265) | 3x 4K30 (H.265) 6x 1080p60 (H.265) | 12x 1080p30 (H.265) |
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Video decode | 1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) 9x 1080p60 (H.265) | 18x 1080p30 (H.265) |
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Display | 1x 8K30 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 | |
Other | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO | |
Networking | 1x GbE | |
Dimensions | 69.6 mm x 45 mm 260-pin SO-DIMM connector |
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* USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations. ** Virtual Channels for Jetson Orin NX are subject to change Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features. |
N-VIDIA Software
All N-VIDIA Jetson modules and developer kits are supported by the same N-VIDIA Jetson software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate the time to market. This brings the powerful N-VIDIA technologies that power data centers and cloud deployments to the edge.
Pretrained Models
Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NGC™ catalog are performance-optimized and ready to be fine-tuned with the N-VIDIA TAO Toolkit and customer datasets, reducing time and cost for production AI software development.
N-VIDIA software platforms including Isaac for robotics, Riva for AI speech, and Metropolis for video analytics, are available to speed vertical-specific applications
N-VIDIA Isaac
Robots improve efficiency and quality of life in industries such as manufacturing, logistics, healthcare, and service. N-VIDIA Isaac™ accelerates the process with enhanced robotics development, simulation, and deployment.
N-VIDIA Riva
N-VIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep-learning pipeline, suitable for optimized skills in speech, vision, and natural language processing (NLP) tasks.
N-VIDIA Metropolis
N-VIDIA Metropolis includes an application framework, s set of developer tools, and the partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries.
Model | Module | Developer Kit |
---|---|---|
Jetson Nano N-VIDIA Maxwell architecture 128 N-VIDIA CUDA cores |
69.6×45mm 260-pin edge connector |
100×80×29mm Official Kit: 4GB / 2GB |
100×80×29mm Waveshare Kit |
||
Jetson TX2 N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
87×50mm 400-pin connector with Thermal Transfer Plate |
170×170×15.6mm Official Kit |
Jetson TX2 NX N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
69.6×45mm 260-pin edge connector |
103×90.5×34mm Waveshare Kit |
Jetson Xavier NX N-VIDIA Volta architecture 384 N-VIDIA CUDA cores 48 Tensor cores |
69.5×45mm 260-pin edge connector |
103×90.5×31mm Official Kit |
103×90.5×34mm Waveshare Kit: 8GB / 16GB |
||
Jetson AGX Xavier N-VIDIA Volta architecture 512 N-VIDIA CUDA cores 64 Tensor cores |
100×87mm 699-pin connector Integrated Thermal Transfer Plate |
105×105×65mm |
Jetson Orin Nano N-VIDIA Ampere architecture 512/1024 N-VIDIA CUDA cores 16/32 Tensor cores |
Memory: 4GB / 8GB 69.6×45mm 260-pin SO-DIMM connector |
100×79×21mm Official Kit |
103×90.5×34mm Waveshare Kit: 4GB / 8GB |
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Jetson Orin NX N-VIDIA Ampere architecture 1024 N-VIDIA CUDA cores 32 Tensor cores |
Memory: 8GB / 16GB 69.6×45mm 260-pin SO-DIMM connector |
103×90.5×34mm Waveshare Kit: 8GB / 16GB |
Note: some models haven't been released yet, please contact the Waveshare service team if you need them. |
As an NVIDIA official authorized partner, Waveshare is capable of providing genuine products and reliable tech support
Weight: 0.026 kg
Quick Overview
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