Waveshare Jetson Orin Nano/NX Carrier Board
Waveshare JETSON-ORIN-IO-BASE — Jetson Orin Nano/NX Carrier Board — Dual M.2 NVMe, 5× USB 3.2 Gen2 & 2× MIPI CSI 4-Lane The Waveshare JETSON-ORIN-IO-BASE is a full-featured carrier board engineered...
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Waveshare JETSON-ORIN-IO-BASE — Jetson Orin Nano/NX Carrier Board — Dual M.2 NVMe, 5× USB 3.2 Gen2 & 2× MIPI CSI 4-Lane
The Waveshare JETSON-ORIN-IO-BASE is a full-featured carrier board engineered to match the official NVIDIA Jetson Orin Nano Developer Kit in footprint and layout while adding production-ready I/O — dual M.2 Key M NVMe slots, five USB 3.2 Gen2 ports, and two 4-lane MIPI CSI camera connectors. Available in three variants: standard HDMI, HDMI Super (-H), and Dual Ethernet with DisplayPort, so you can choose the connectivity profile that fits your deployment.
Key Highlights
- 260-pin SO-DIMM Socket for All Orin Variants — accepts every Jetson Orin Nano (4GB/8GB) and Orin NX (8GB/16GB) module, giving you a future-proof platform to scale compute without replacing the carrier board.
- 2× MIPI CSI 4-Lane Camera Ports — dual 22-pin FPC connectors deliver full-bandwidth simultaneous camera feeds for AI inference pipelines including face recognition, license plate reading, and industrial inspection.
- 5× USB Ports at USB 3.2 Gen2 Speed — four Type-A ports running at 10 Gbps each, plus one USB Type-C dedicated to OS flashing, eliminate the USB bandwidth bottleneck common on compact embedded boards.
- Dual M.2 Key M NVMe Slots — run two PCIe NVMe drives simultaneously for RAID-0 throughput, split OS/data storage, or high-speed AI model caching — critical for inference workloads that saturate a single SSD.
- M.2 Key E Wireless Slot — add Wi-Fi 6 or Bluetooth combo cards without USB dongles or external cables, keeping the assembly clean and enclosure-ready.
- Color-Coded 40-pin GPIO Header — visually differentiates I2C, SPI, I2S, UART, and GPIO signals by color, significantly reducing wiring errors during rapid prototyping and sensor integration.
- Wide-Range 9V–19V DC Power Input — standard 5.5×2.5mm barrel jack is compatible with off-the-shelf laptop adapters; no proprietary PSU required for lab or field deployments.
- Official Developer Kit Footprint — identical board dimensions and mounting hole pattern to the Jetson Orin Nano Dev Kit let you reuse existing enclosures, camera mounts, and thermal solutions without modification.
- 4-pin PWM Fan Header — onboard PWM cooling control lets you tune fan curves for sustained AI inference performance under thermal load without manual adjustment.
- RTC Backup Battery Connector — PH1.25 2-pin header keeps the real-time clock running through power cycles, essential for timestamped logging and scheduled task execution in offline deployments.
Technical Specifications
| Specification | JETSON-ORIN-IO-BASE | JETSON-ORIN-IO-BASE-H | JETSON-ORIN-IO-BASE (Dual Ethernet) |
| Module Compatibility | Jetson Orin Nano 4GB / 8GB & Jetson Orin NX 8GB / 16GB — 260-pin SO-DIMM socket | ||
| Display Output | HDMI | HDMI | DisplayPort (4K) |
| Ethernet | 1× Gigabit RJ45 | 1× Gigabit RJ45 | 1× 2.5GbE + 1× Gigabit RJ45 |
| USB Type-A | 4× USB 3.2 Gen2 (10 Gbps) | 4× USB 3.2 Gen2 (10 Gbps) | 3× USB 3.2 Gen2 + 1× USB 2.0 |
| USB Type-C | 1× — OS flashing & data transfer | ||
| CSI Camera | 2× 22-pin MIPI CSI 4-lane (adapter cable required) | ||
| M.2 Storage | 2× M.2 Key M — NVMe PCIe SSD | ||
| M.2 Wireless | 1× M.2 Key E — Wi-Fi / Bluetooth | ||
| GPIO Header | 40-pin (I2C, SPI, I2S, UART) | 40-pin color-coded (I2C, SPI, I2S, UART) | 40-pin (I2C, SPI, I2S, UART) |
| Fan Connector | 4-pin PWM fan header | ||
| Power Input | 9V–19V DC, 5.5×2.5mm barrel jack | ||
| Debug / Control | 12-pin header — power supply, reset, force recovery, serial debug, auto power-up, power indicator | ||
| RTC Battery | PH1.25 2-pin connector | ||
Which Variant Is Right for You?
All three boards share the same Jetson module socket, dual NVMe slots, and dual CSI camera ports. Choose the standard BASE or BASE-H for single-Ethernet HDMI builds — the BASE-H adds a color-coded GPIO header that speeds up prototyping. Choose the Dual Ethernet variant when your application needs 2.5 GbE throughput, a second Ethernet port for network bridging, or a 4K DisplayPort output instead of HDMI.
| Feature | BASE (Standard) | BASE-H (Super HDMI) | BASE Dual Ethernet |
| Display | HDMI | HDMI | DisplayPort 4K |
| Ethernet | 1× GbE | 1× GbE | 1× 2.5GbE + 1× GbE |
| USB Type-A | 4× USB 3.2 Gen2 | 4× USB 3.2 Gen2 | 3× USB 3.2 Gen2 + 1× USB 2.0 |
| GPIO Header | 40-pin standard | 40-pin color-coded | 40-pin standard |
| Best For | General edge AI dev with HDMI display | Rapid hardware prototyping & GPIO wiring | Network gateways, 4K output, high-bandwidth Ethernet |
Common Applications & Use Cases
- Edge AI Inference Deployment — run GPU-accelerated deep learning models (YOLO, ResNet, TensorRT) directly at the sensor without cloud round-trips, leveraging the Jetson Orin module's on-chip CUDA cores and DLA engines.
- Multi-Camera AI Vision Systems — connect two MIPI CSI cameras simultaneously for stereo depth estimation, dual-angle ALPR, or parallel face recognition across separate entry and exit points in access control.
- Autonomous Mobile Robots (AMR) — the 40-pin GPIO header exposes I2C, SPI, and UART for motor controllers, encoders, and IMUs, while dual NVMe stores occupancy maps and sensor logs at low latency.
- Industrial IoT Gateways — NVMe storage and Gigabit Ethernet (or 2.5 GbE on the Dual Ethernet variant) handle continuous high-bandwidth sensor data ingestion from PLCs, vision sensors, and factory-floor equipment.
- Smart Retail & People Counting — dual CSI cameras cover wide-area scenes while the Orin AI engine runs real-time dwell-time analytics, footfall counting, and shelf-stock detection at low power consumption.
- 24/7 Video Surveillance & Analytics — four USB 3.2 Gen2 ports accept IP capture cards or external storage; dual NVMe in RAID configuration ensures no dropped frames during continuous recording.
- Drone & UAV Perception Systems — compact I/O allows integration of GPS receivers and flight controllers via UART, dual downward-facing CSI cameras for terrain mapping, and NVMe for raw data capture.
- Medical Imaging & AI Diagnostics — USB 3.2 Gen2 and NVMe throughput move large radiological or microscopy datasets from acquisition hardware to on-device inference models without network bandwidth constraints.
- Network AI Gateway (Dual Ethernet Variant) — the 2.5 GbE + GbE configuration enables inline AI packet inspection, traffic classification, and network bridging with near wire-speed throughput in telco edge deployments.
- Maker & University Research Prototyping — wide power input, color-coded GPIO (BASE-H), and developer-kit form factor accelerate hardware-software co-development for robotics labs, thesis projects, and maker builds.
What's in the Box
- JETSON-ORIN-IO-BASE carrier board (selected variant) × 1
- Screws pack × 1
Not included: Jetson Orin Nano / NX compute module, power supply adapter, NVMe SSD(s), M.2 wireless network card, CSI camera module(s), and CSI adapter cable — all sold separately. The Jetson module must be purchased and installed before the board will power on.
Frequently Asked Questions
Which Jetson Orin modules are compatible with this carrier board?
The board supports all modules using the 260-pin SO-DIMM standard — specifically the Jetson Orin Nano 4GB, Jetson Orin Nano 8GB, Jetson Orin NX 8GB, and Jetson Orin NX 16GB. It is not compatible with older Jetson Nano, TX2 NX, or Xavier NX modules, which use different connector generations. Always confirm the module's SO-DIMM generation before seating it on the board.
What power supply does this carrier board require?
The board requires a 9V–19V DC supply via a 5.5×2.5mm barrel jack — a standard 12V or 19V laptop-style adapter works well. NVIDIA recommends at least 20W for Orin Nano builds and 30W+ for Orin NX under sustained AI workloads. Using a supply outside the 9V–19V range risks permanent damage to the board and connected module; always verify voltage before powering on.
What operating system does the Jetson Orin Nano/NX run on this board?
The official OS is NVIDIA's JetPack SDK, based on Ubuntu 20.04 or 22.04 LTS depending on the JetPack version. It is flashed via the USB Type-C port in recovery mode using NVIDIA SDK Manager or a pre-built image with Balena Etcher. JetPack bundles CUDA, cuDNN, TensorRT, and DeepStream, enabling GPU-accelerated AI development without additional driver installation.
Can I boot from an NVMe SSD instead of the module's eMMC?
Yes. Both M.2 Key M NVMe slots are PCIe-connected and JetPack supports NVMe root boot. Booting from NVMe dramatically increases storage throughput versus onboard eMMC — beneficial for large dataset access and fast model loading. The recommended method is to flash JetPack to eMMC first, then use NVIDIA's extlinux.conf boot configuration to redirect the root filesystem to the NVMe drive.
Which cameras are compatible with the 22-pin CSI connectors?
The board uses 22-pin MIPI CSI FPC connectors — direct plug-in with standard Raspberry Pi 15-pin cameras is not possible without an adapter cable. Compatible modules include Waveshare's IMX219, IMX477, and IMX708 camera boards using the correct 22-to-15 pin adapter. Always verify the lane count of your chosen sensor against the Orin module's CSI controller and ensure you have the correct adapter cable before ordering.
What is the practical difference between the BASE, BASE-H, and Dual Ethernet variants?
The BASE and BASE-H are nearly identical — both offer HDMI and single Gigabit Ethernet; the BASE-H adds a color-coded GPIO header that visually maps pin functions, reducing wiring errors during prototyping. The Dual Ethernet variant replaces HDMI with 4K DisplayPort, upgrades one port to 2.5 GbE, and adds a second GbE port — making it the right choice for network gateways, high-throughput data pipelines, and 4K display deployments.
Can both M.2 Key M NVMe slots be used at the same time?
Yes — both slots are independently PCIe-routed and operate simultaneously. Common configurations include one SSD for the OS and AI models and a second for high-speed data logging, or both drives in a Linux software RAID-0 array for maximum sequential throughput. NVMe SSDs and the necessary M.2 mounting screws are not included and must be purchased separately.
Which Wi-Fi and Bluetooth cards work in the M.2 Key E slot?
The M.2 Key E slot supports PCIe and USB-interface Wi-Fi / Bluetooth combo modules. Commonly used options include the Intel AX200 / AX210 (Wi-Fi 6/6E + Bluetooth 5.x) and Realtek RTL8822CE. Verify Linux kernel driver support for your chosen card within the JetPack version you are running — some cards require manual driver compilation. An external antenna pigtail may be needed if your card does not include onboard antennas.
Does this board fit inside the official Jetson Orin Nano Developer Kit enclosure?
Yes. The JETSON-ORIN-IO-BASE is designed with the identical footprint and mounting hole layout as the official Jetson Orin Nano Developer Kit carrier board, making it compatible with NVIDIA-official and most third-party enclosures designed for that kit. Before final assembly, confirm that your enclosure's I/O cutout positions match this board's port placement — minor positional differences may exist between the standard BASE and the H or Dual Ethernet variants.
Is the Jetson Orin module included, and what else do I need to get started?
The Jetson Orin Nano / NX compute module is not included and must be purchased separately. To get started you will also need: a 9V–19V DC power adapter (5.5×2.5mm), a USB Type-C cable for OS flashing in recovery mode, and at least one M.2 NVMe SSD for storage. Optional but recommended: a compatible CSI camera adapter cable, an M.2 Key E Wi-Fi card, a PWM cooling fan, and an RTC backup battery.
