NVIDIA Jetson Orin Nano Super Developer Kit ($249 67-TOPS Ampere GPU, 8GB 102GB/s LPDDR5 & 7W–25W)
$249 compact generative AI developer kit (103×90.5×34.8mm, ~176g) pairing a 1,024-core NVIDIA Ampere GPU + 32 Tensor Cores (up to 67 Sparse / 33 Dense INT8 TOPS in 25W MAXN Super mode) and 6-core Cortex-A78AE CPU with 8GB 128-bit LPDDR5 at 102 GB/s bandwidth, dual M.2 NVMe slots, dual 22-pin MIPI CSI-2 camera lanes, and full CUDA / TensorRT-LLM / Isaac ROS support.
Editorial Rating Methodology (★ 4.9 / 5.0): This score is an internal editorial evaluation compiled by the RECIWO Labs editorial team—not a user poll or crowd-voted rating. It assesses published silicon compute efficiency (25%), optical/sensor/actuator engineering (25%), battery & thermal envelope (20%), SDK/software openness (15%), and price-to-specification value (15%) based on official manufacturer datasheets and public technical documentation. Learn more about our evaluation rubric →
Key Engineering Highlights
- Delivers 1.7× higher generative AI inference throughput and 50% faster memory bandwidth (102 GB/s across 8GB 128-bit LPDDR5) at half the historical Jetson price ($249 MSRP)
- Runs quantized 3B–4B Vision-Language Models, Whisper speech pipelines, and Isaac ROS visual SLAM natively on standard CUDA and TensorRT-LLM without proprietary NPU operator gaps
- Provides dual M.2 Key M NVMe SSD slots, two 22-pin MIPI CSI-2 camera interfaces, four 10Gbps USB 3.2 Gen 2 ports, and configurable 7W–25W thermal profiles
Full Hardware Specifications
| Processor / Edge SoC | NVIDIA Ampere GPU (1,024 CUDA Cores + 32 Tensor Cores) + 6-Core Arm Cortex-A78AE v8.2 64-Bit CPU @ 1.7GHz |
|---|---|
| AI Model Stack | Up to 67 INT8 TOPS (Sparse) Running Llama-3.2-3B, Qwen2.5-VL-3B, SmolVLA, Whisper & YOLO11 via TensorRT-LLM / Ollama |
| Display & Optics | 1× DisplayPort 1.2 (+ MST Multi-Stream Support) Driving High-Resolution Edge Vision & Robotics Dashboards |
| Camera & Vision | 2× MIPI CSI-2 22-Pin Camera Connectors + 4× USB 3.2 Gen 2 (10Gbps) Type-A Ports for Stereo RGB-D & USB3 Vision |
| Measured Weight | 176.0g Carrier + SoM + Active PWM Heatsink Assembly (103 × 90.5 × 34.77mm Palm-Sized Footprint) |
| Battery & Runtime | DC Barrel Input w/ Software-Selectable 7W, 15W & 25W MAXN Super Power Envelopes (9V–19V Wide-Input Carrier) |
| Connectivity & I/O | Gigabit Ethernet + Pre-Installed M.2 Key E Wi-Fi/BT Module + USB-C Device/Debug + 40-Pin GPIO (UART/SPI/I2C/PWM) |
| Sensors & Acoustics | 8GB 128-Bit LPDDR5 (102 GB/s) + M.2 Key M PCIe Gen3 x4 + M.2 Key M PCIe Gen3 x2 NVMe Slots + MicroSD Slot |
⚖️ Side-by-Side Comparison: NVIDIA Jetson Orin Nano Super Developer Kit ($249 67-TOPS Ampere GPU, 8GB 102GB/s LPDDR5 & 7W–25W) vs. Edge Compute & DevKits Peers
Direct specification comparison against leading competing devices in the Edge Compute & DevKits category.
| Specification | NVIDIA Jetson Orin Nano Super Developer Kit ($249 67-TOPS Ampere GPU, 8GB 102GB/s LPDDR5 & 7W–25W) (Current) | NVIDIA Jetson Orin NX Super Edge AI DevKit → | Xiaozhi AI Voice Cube Pro (ESP32-S3 Open DevKit) → | Apple Mac mini (M5 Pro 64GB) Private AI Node → |
|---|---|---|---|---|
| Brand | NVIDIA | NVIDIA | Open Hardware Community | Apple |
| Retail Price | $249 | $499 | $12 | $1,799 |
| Editorial Rating | ||||
| Edge SoC | NVIDIA Ampere GPU (1,024 CUDA Cores + 32 Tensor Cores) + 6-Core Arm Cortex-A78AE v8.2 64-Bit CPU @ 1.7GHz | NVIDIA Ampere GPU (1024 CUDA + 32 Tensor Cores) | Espressif ESP32-S3R8 (Dual-Core LX7 @ 240MHz + 8MB PSRAM) | Apple M5 Pro (14c CPU + 20c GPU + 16c Neural Engine) |
| AI Model Stack | Up to 67 INT8 TOPS (Sparse) Running Llama-3.2-3B, Qwen2.5-VL-3B, SmolVLA, Whisper & YOLO11 via TensorRT-LLM / Ollama | Runs Llama-3.2 8B / Qwen2.5-VL 7B / YOLO11 Locally | Edge ESP-SR Wake + Realtime Cloud Voice LLMs | MLX Accelerated Qwen3-32B / Llama-3.3-70B |
| Display / Optics | 1× DisplayPort 1.2 (+ MST Multi-Stream Support) Driving High-Resolution Edge Vision & Robotics Dashboards | HDMI 2.1 / DP 1.4 (Up to 8K) | 1.28-inch Circular IPS LCD (240×240) / 0.96" OLED | Supports up to three 6K displays |
| Camera | 2× MIPI CSI-2 22-Pin Camera Connectors + 4× USB 3.2 Gen 2 (10Gbps) Type-A Ports for Stereo RGB-D & USB3 Vision | Dual MIPI CSI-2 Camera Lanes + 4× USB 3.2 | Optional OV2640 / GC2145 Camera Module | External USB-C / Studio Display Camera |
| Weight | 176.0g Carrier + SoM + Active PWM Heatsink Assembly (103 × 90.5 × 34.77mm Palm-Sized Footprint) | 450g (including active heatsink & carrier board) | 62g (with 3D-printed enclosure & speaker cavity) | 730g |
| Battery | DC Barrel Input w/ Software-Selectable 7W, 15W & 25W MAXN Super Power Envelopes (9V–19V Wide-Input Carrier) | 19V DC Input (15W–40W configurable TDP) | 800mAh LiPo (5h continuous dialogue) | Internal 155W PSU (4W idle draw) |
📚 Related Engineering Teardowns & Reviews
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