NVIDIA Jetson Orin Nano Super 8GB RAM 67TOPS Development Kit
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NVIDIA Jetson Orin Nano Super 8GB RAM 67TOPS Development Kit NVIDIA Jetson Orin Nano Super 8GB RAM 67TOPS Development Kit is a powerful and compact AI development platform built around the NVIDIA Jetson Orin Nano Super module. Designed for developers, engineers, makers, and students, this kit brings accelerated AI performance to edge computing projects, enabling real-time machine learning, computer vision, and intelligent robotics without needing cloud processing. It offers a complete, ready-to-use hardware foundation so you can focus on building and refining your AI applications quickly and efficiently. Ideal for applications such as autonomous robotics, smart cameras, industrial automation, and advanced IoT systems, this development kit supports demanding AI workloads with fast inference and efficient performance. It works seamlessly with NVIDIA’s JetPack SDK and popular AI frameworks like TensorFlow and PyTorch, giving you the tools and ecosystem support needed for prototyping and deploying edge-AI solutions. Whether you’re experimenting, learning, or developing professional products, this kit delivers reliable performance for modern AI and embedded systems. Hardware Overview Features: Powered by NVIDIA Jetson Orin Nano Super module with up to 67 TOPS AI performance Handles real-time AI tasks like vision processing, object detection, and deep learning inference Compatible with TensorFlow, PyTorch, and NVIDIA JetPack SDK for streamlined development Supports multiple sensors, cameras, and peripherals through flexible I/O interfaces Designed for robotics, autonomous systems, industrial AI, and smart IoT devices Compact, efficient, and suitable for both rapid prototyping and edge-AI deployment
- Jetson Orin Nano Super module with 67 TOPS AI performance
- 8GB memory for handling edge AI and deep learning workloads
- Ideal for robotics, computer vision, and smart IoT systems
- Supports TensorFlow, PyTorch, and NVIDIA JetPack SDK
- Real-time processing for object detection and inference tasks
- Compact design for prototyping and embedded AI products
- AI Performance 67 TOPS
- GPU NVIDIA Ampere architecture with 1024 CUDA cores and 32 Tensor Cores
- CPU 6-core Arm Cortex-A78AE v8.2 64-bit CPU (1.5MB L2 + 4MB L3)
- Memory 8GB 128-bit LPDDR5, 102GB/s
- Storage Supports SD card slot and external NVMe
- Video Encode 1080p30 supported by 1–2 CPU cores
- Video Decode 1× 4K60 (H.265), 2× 4K30 (H.265), 5× 1080p60 (H.265), 11× 1080p30 (H.265)
- Power 7W – 25W