NVIDIA Jetson Orin Nano Super (8 GB)
NVIDIA Jetson Orin Nano Super (8 GB)
Low-cost edge AI for small models and sensors.
- Puppy One fit: Below minimum
- Memory for models: 8 GB
- Chip / GPU: NVIDIA Jetson Orin Nano
- OS: JetPack (Ubuntu, ARM64)
- Validation: Can't hold the default model
- Availability: Available
Palm-sized edge AI developer kit featuring the NVIDIA Jetson Orin Nano Super module with a 6-core Arm Cortex-A78AE CPU, a 1,024-core Ampere GPU with 32 Tensor Cores, 8 GB of LPDDR5 memory at 102 GB/s, and delivering up to 67 TOPS of INT8 AI performance.
Designed for robotics, vision, and small-model inference at the edge, with JetPack 6 on Ubuntu, CUDA, TensorRT, and the NVIDIA Isaac and Metropolis SDKs preinstalled, and support for PyTorch, Ollama, and Jetson Generative AI Lab.
Fits in a pocket on a reference carrier board with four USB 3.2 ports, Gigabit Ethernet, a microSD slot and M.2 slots, draws 7 to 25 W, and runs a 3-billion-parameter model at 4-bit or an 8-billion-parameter model quantized with limited context.
$249. NVIDIA fixed price; in stock.