- Description
Details
Advanced AI computer for smaller, lower-power autonomous machines
The 8GB version of the Jetson Orin Nano series delivers up to 40 TOPS of AI performance in a compact and small form factor, with power options between 7W and 15W, up to 80X the performance of N-VIDIA Jetson Nano, setting a new standard for entry-level edge AI.
| Module | 4GB | 8GB | |||
|---|---|---|---|---|---|
| Version | 4GB Jetson Orin Nano Module | Waveshare Kit | 8GB Jetson Orin Nano Module | Waveshare Kit | Official Kit |
| AI performance | 20TOPS | 40TOPS | |||
| GPU | 512-core N-VIDIA Ampere architecture GPU with 16 Tensor Cores | 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores | |||
| GPU Frequency | 625MHz (Max) | ||||
| CPU | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3 | ||||
| CPU Frequency | 1.5GHz (Max) | ||||
| Memory | 4GB 64-bit LPDDR5, 32GB/s | 8GB 128-bit LPDDR5, 68GB/s | |||
| Storage | Supports external NVMe | 128GB NVMe Solid State Drive | Supports external NVMe | 128GB NVMe Solid State Drive | TF card slot & external NVMe via M.2 Key M |
| Power | 7W ~ 10W | 7W ~ 15W | |||
| PCIe* | 1 x4 + 3 x1 (PCIe 3.0, Root Port & Endpoint) | M.2 Key M slot with x4 PCIe Gen3/ M.2 Key M slot with x2 PCIe Gen3/ M.2 Key E slot |
1 x4 + 3 x1 (PCIe 4.0, Root Port & Endpoint) | M.2 Key M slot with x4 PCIe Gen3/ M.2 Key M slot with x2 PCIe Gen3/ M.2 Key E slot |
|
| USB* | 3x USB 3.2 2.0 (10 Gbps) 3x USB 2.0 |
USB Type-A: 4x USB 3.2 Gen2/ USB Type-C (UFP) | 3x USB 3.2 2.0 (10 Gbps) 3x USB 2.0 |
USB Type-A: 4x USB 3.2 Gen2/ USB Type-C (UFP) |
|
| CSI Camera | Up to 4 cameras (8 via virtual channels**)/ 8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps) |
2x MIPI CSI-2 Camera Connector | Up to 4 cameras (8 via virtual channels**)/ 8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps) |
2x MIPI CSI-2 Camera Connector | |
| Video encode | 1080p30 supported by 1-2 CPU cores | ||||
| Video decode | 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) |
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| Display | 1x 8K30 multi-mode DP 1.4a (+MST)/ eDP 1.4a/HDMI 2.1 |
1x DisplayPort 1.2 (+MST) connector | 1x 8K30 multi-mode DP 1.4a (+MST)/ eDP 1.4a/HDMI 2.1 |
1x DisplayPort 1.2 (+MST) connector | |
| Other | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO | 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, DC power jack | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO | 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, DC power jack | 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack |
| Networking | 1x GbE | 1x GbE Connector | 1x GbE | 1x GbE Connector | |
| Dimensions | 69.6 mm x 45 mm 260-pin SO-DIMM connector |
103 × 90.5 × 34mm | 69.6 mm x 45 mm 260-pin SO-DIMM connector |
103 × 90.5 × 34mm | 100 mm x 79 mmx 21 mm |
| * USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations. ** Virtual Channels for Jetson Orin Nano are subject to change Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features. |
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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 |
||
| 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. | ||
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Quick Overview
OPTIONS Jetson Orin Nano x1
