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

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.

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