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NVIDIA Jetson Orin Nano Super Developer Kit (67 TOPS, 8GB, 25W)
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Here’s a refined and structured rewrite of your text: Introduction The NVIDIA Jetson Orin Nano™ Super Developer Kit is a compact, high-performance platform ...
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Introduction
The NVIDIA Jetson Orin Nano™ Super Developer Kit is a compact, high-performance platform designed to bring generative AI to small edge devices. Delivering up to 67 TOPS of AI performance, it provides a 1.7X boost over its predecessor, making it capable of running advanced AI models such as large language models (LLMs) and vision transformers.
Ideal for AI applications in robotics, vision AI, and beyond, this performance upgrade is available through a simple software update for existing users. The Jetson Orin Nano Super expands access to cutting-edge generative AI at the edge, unlocking new opportunities for innovation.
Key Features
Exceptional AI Performance for Generative Models
With 67 TOPS of AI performance (up from 40 TOPS), the Jetson Orin Nano Super enables the efficient execution of advanced AI models, including:
- Large Language Models (LLMs)
- Vision Transformers
- Vision-Language Models (VLMs)
This enhanced power ensures faster, more accurate AI processing for next-generation applications.
Affordable High-Performance AI
At just $249, the Jetson Orin Nano Super is the most cost-effective embedded computing solution for generative AI. Its affordability makes advanced AI accessible to students, makers, and professionals, eliminating the need for expensive hardware.
Seamless Performance Upgrade for Existing Users
Current Jetson Orin Nano Developer Kit users can unlock the Super model’s enhanced AI performance through a software update—no new hardware required. This ensures a smooth, cost-effective transition for ongoing projects.
Features
- Generative AI Performance – 67 TOPS for fast, efficient execution of AI models (LLMs, vision transformers, VLMs).
- Compact & Powerful – Small form factor with industry-leading AI capabilities.
- High-Speed Memory – 8GB LPDDR5 with 102 GB/s bandwidth for seamless data handling.
- Flexible Storage – Supports SD cards and external NVMe storage for scalable data management.
- Easy Upgrade – Existing Jetson Orin Nano users can enhance performance via a simple software update.
- NVIDIA AI Ecosystem – Fully compatible with NVIDIA’s AI software stack, including TensorRT, CUDA, and cuDNN.
Applications
- AI-Driven Robotics
- Vision AI Applications
Specifications
- AI Performance: 67 TOPS (INT8)
- GPU: NVIDIA Ampere architecture, 1024 CUDA cores, 32 Tensor Cores
- CPU: 6-core Arm Cortex-A78AE v8.2 64-bit, 1.5MB L2 + 4MB L3 cache, 1.7 GHz
- Memory: 8GB LPDDR5, 102 GB/s memory bandwidth
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Storage:
- SD card slot
- External NVMe support
- Power Consumption: 7W – 25W (depending on workload)
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Connectivity:
- Gigabit Ethernet
- 1x M.2 Key M (for NVMe storage)
- USB 3.2, HDMI 2.0
- 40-pin GPIO header
- Operating System: Linux for Tegra (L4T) with support for NVIDIA AI SDKs
- Dimensions: 100mm × 80mm × 25mm (3.9" × 3.1" × 1.0")
- Operating Temperature: 0°C to 50°C
- Software Compatibility: Fully supports Jetson Linux and NVIDIA AI tools (TensorRT, CUDA, cuDNN, etc.)
Shipping List
- Jetson Orin Nano Super Developer Kit ×1
- 19V Power Supply (45W)
- Type B (US, JP) Power Cable
- Type I (CN) Power Cable
- UPC Label
- Quick Start & Support Guide
Jargon buster
Plain-language definitions for the technical terms used above.
- GPIO
- General-purpose input/output pins are microcontroller pins you can set in software to read signals, switch devices on and off, or connect to peripherals. The number of GPIO pins matters because it limits how many buttons, LEDs, sensors, and other parts you can wire directly to the board.
- HDMI
- HDMI is a common digital video and audio connection used by computers, media players, and many displays. If a display kit has HDMI input, it is usually much easier to test with a single-board computer because it can act like a normal monitor.
- M.2
- M.2 is a compact edge-connector standard for plugging small modules - such as SSDs, wireless cards or microcontroller modules - into a host board without soldering. The same slot shape can carry different interfaces (for example PCIe, SATA or USB), so keying and the supported module type need to be checked.
- NVMe
- A high-speed storage standard commonly used by modern SSDs. NVMe support matters if you want faster storage for large AI models, video files or operating system images than a typical microSD card can provide.
- Tensor Cores
- Specialised processing units inside some GPUs that accelerate the matrix maths used in machine learning. They matter for choosing an AI computer because many neural-network tasks run much faster when software can use them.
- TOPS
- TOPS means trillions of operations per second, often used to describe AI accelerator performance. It helps compare whether a computing module is suited to lightweight image recognition or more demanding neural-network workloads.
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