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RLX COMPONENTS s.r.o. , Electronic Components Distributor.
RLX COMPONENTS s.r.o. , Electronic Components Distributor.
NVIDIA Jetson Orin Nano 4GB - AI Development Module, System-on-Module, NANO Size, Options for Memory (WS-24432)
NVIDIA Jetson Orin Nano AI Development Module, System-On-Module, NANO Size, 4GB
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.
VERSION | 4GB | 8GB | Jetson Orin Nano Developer 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 | 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) | 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) |
|
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 22-pin 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 | |
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, TF card Slot, DC power jack | |
NETWORKING | 1x GbE | 1x GbE Connector | |
DIMENSIONS | 69.6 mm x 45 mm 260-pin SO-DIMM connector |
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
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.