Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options For 4GB/8GB Memory Jetson Orin Nano Module
Waveshare Jetson Orin Nano Dev Kit
AI Edge Computing Development Kit
This Is Not The N-VIDIA Official Developer Kit
Based on Jetson Orin Nano Module, with JETSON-ORIN-IO-BASE base board, providing rich peripheral interfaces such as M.2, DP, USB, etc., which is more convenient for users to realize the product performance.
This kit includes the Orin Nano Module with options for 4GB/8GB memory, no built-in storage module, provides up to 20 TOPS/40 TOPS AI Performance. Comes with a Free 128 GB NVMe Solid State Drive, high-speed reading/writing, meet the needs of large AI project development.
* for reference only, the actual appearance of the Solid State Drive may be different
This kit also comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication.
Kit | A | B |
JETSON-ORIN-NANO-DEV-KIT (Orin Nano Module: options for 4GB/8GB) |
√ | √ |
IMX219-77 Camera | √ | √ |
13.3inch HDMI LCD (H) (with case) V2 (USB cable, DP to HDMI cable, Power Supply) |
√ |
JETSON-ORIN-NANO-DEV-KIT
Includes Jetson Orin Nano Module (options for 4GB/8GB), JETSON-ORIN-IO-BASE base board, Cooling Fan, 128GB NVMe Solid State Drive, AW-CB375NF dual-band wireless network card, USB cable, Ethernet cable, Power supply, etc.
JETSON-ORIN-NANO-DEV-KIT-A: Camera kit
On the basis of the JETSON-ORIN-NANO-DEV-KIT, it is equipped with an 8MP (3280 x 2464) high-definition camera, suitable for the AI intelligent applications such as face recognition, road sign recognition and license plate recognition.
JETSON-ORIN-NANO-DEV-KIT-B: Camera + Touch display kit
On the basis of the Kit A, it is equipped 13.3inch Capacitive Touch Screen LCD (with case), 1920×1080 resolution, up to 10-point touch, built-in ferrite Hi-Fi speaker. It can display the images taken by the camera in real time, to achieve more human-computer interaction of artificial intelligence operations.
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) |
||||
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. |
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
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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.