NVIDIA 900-13767-0040-000 | Jetson Orin Nano 4GB AI Module, 6-Core A78AE, 20 TOPS
SKU:900-13767-0040-000
Stock Status: Enquire
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Description
Description
Features
Features
NVIDIA Ampere GPU architecture with 512 CUDA cores and 16 third-generation Tensor Cores supporting FP16, INT8, and sparse tensor operations
- 20 TOPS AI inference performance enabling multiple concurrent neural network pipelines
- 6-core ARM Cortex-A78AE CPU with 1.5MB L2 and 4MB L3 cache for balanced compute workloads
- 4GB LPDDR5 unified memory architecture shared between CPU and GPU with 34 GB/s bandwidth
- PCIe Gen 4 x4 interface for high-speed NVMe storage (M.2 Key M socket)
- MIPI CSI-2 camera support for up to 4 sensors via 8-lane configuration with virtual channels
- DisplayPort 1.4 output with multi-stream transport for multiple display configurations
- Gigabit Ethernet with hardware-accelerated TCP/IP offload
- M.2 Key E slot for wireless connectivity modules (Wi-Fi 6/6E, Bluetooth 5.x)
- USB 3.2 Gen 2 support for high-speed peripherals and data acquisition
- Power-efficient design with configurable TDP from 5W to 10W for thermal-constrained applications
- Pin-compatible with Jetson Orin NX for scalable product design
- H.264/H.265 video decode support (software-based encoding)
- Comprehensive GPIO, I2C, SPI, UART, and I2S interfaces for sensor and actuator integration
- Security features including secure boot, ARM TrustZone, and hardware cryptographic acceleration
Warranty
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
CPU: 6-core ARM Cortex-A78AE v8.2 64-bit processor (up to 1.5 GHz)
- GPU: 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores
- AI Performance: Up to 20 TOPS (INT8), 10 TOPS dense
- Memory: 4GB 64-bit LPDDR5, 2133 MHz, 34 GB/s bandwidth
- Storage Support: M.2 Key M (NVMe PCIe Gen 4 x4), microSD card slot
- Network: Gigabit Ethernet (10/100/1000BASE-T)
- Camera Interfaces: Up to 4x MIPI CSI-2 (8 lanes total via virtual channels)
- Display Output: DisplayPort 1.4 with multi-stream support
- USB: USB 3.2 Gen 2 (up to 10 Gbps), USB 2.0
- Expansion: M.2 Key E (PCIe + USB 2.0 for Wi-Fi/BT modules), PCIe Gen 4 x4 + 3x PCIe x1
- Low-Speed I/O: I2C, SPI, UART, I2S, GPIO
- Power: 5W to 10W configurable
- Form Factor: 69.6mm x 45mm system-on-module, pin-compatible with Jetson Orin NX
- Operating Temperature: 0°C to 60°C (module)
- Software: NVIDIA JetPack SDK, Linux BSP (Ubuntu-based)
FAQs
Q: What AI frameworks and software are supported on the Jetson Orin Nano 4GB?
A: The module runs the full NVIDIA AI software stack via JetPack SDK, supporting TensorFlow, PyTorch, ONNX Runtime, and NVIDIA-specific frameworks including Isaac for robotics, DeepStream for vision AI, Riva for conversational AI, and TAO Toolkit for transfer learning. It ships with Ubuntu-based Linux BSP and supports containerized AI applications.
Q: Is the Jetson Orin Nano 4GB pin-compatible with other Jetson modules?
A: Yes, the Jetson Orin Nano 4GB is pin- and form-factor-compatible with Jetson Orin NX modules, allowing seamless migration between performance tiers on the same carrier board design. This compatibility simplifies product scaling and reduces development costs across different AI performance requirements.
Q: What types of applications is the Jetson Orin Nano 4GB designed for?
A: This module targets entry-level to mid-tier edge AI applications including autonomous mobile robots, industrial quality inspection systems, smart retail analytics, IoT gateways with vision processing, entry-level autonomous vehicles, and multi-camera AI surveillance systems. Its 20 TOPS performance enables running multiple concurrent AI pipelines for object detection, classification, and tracking.
Q: How many cameras can the Jetson Orin Nano 4GB support simultaneously?
A: The module supports up to four MIPI CSI-2 camera inputs using eight lanes total via virtual channel technology. When paired with a compatible carrier board, it can process streams from multiple high-resolution cameras in parallel for applications like 360-degree vision, stereo depth sensing, or multi-zone monitoring.
Q: What storage options are available on this module?
A: The Jetson Orin Nano 4GB features an M.2 Key M socket supporting NVMe SSDs via PCIe Gen 4 x4 for high-speed primary storage, plus a microSD card slot for system boot or additional storage. This dual-storage architecture enables flexible deployment configurations for different application requirements and cost points.
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