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NVIDIA Jetson Nano Development Boards & Kits

Finding the Right Jetson Nano Boards for Your Next Project

Choose Jetson Nano boards based on the required model, specifications, and project workload. For high-value AI and edge-computing projects, buyers should also check authorised stock availability, GST invoice support, and the current price band before ordering. Jetson Nano boards are used for robotics, computer vision, AI development, automation, and STEM projects. Compare the available models and configurations to select the board that matches the required computing performance, connectivity, and application.

Jetson Nano and Jetson Xavier NX target different levels of edge AI performance. Jetson Nano is suited to entry-level AI learning, computer vision, and smaller robotics projects, while Xavier NX provides substantially higher AI performance for multi-model inference, advanced robotics, and automation.

Specification	Jetson Nano	Jetson Xavier NX
GPU	128-core Maxwell	384-core Volta + 48 Tensor Cores
CPU	Quad-core ARM A57	6-core NVIDIA Carmel CPU
RAM	4GB LPDDR4	8GB LPDDR4x
AI Performance	0.5 TFLOPS FP16	Up to 21 TOPS INT8
Ideal Use Case	AI learning, small robotics, vision projects	Advanced edge AI, robotics, automation
Typical Power	5–10W	10–15W

Jetson Nano vs Orin Nano vs Orin NX

For new AI and robotics projects, the Orin family provides a significant performance step up from the original Jetson Nano. Jetson Orin Nano is positioned for entry-level edge AI, while Orin NX targets more demanding computer vision, robotics, and multi-model workloads. NVIDIA's current Orin Nano and Orin NX modules offer multiple power modes, so actual performance depends on the selected configuration and thermal design.

Jetson Model	AI Performance	Memory	Power Range	Typical Robocraze Price*
Jetson Nano 4GB	0.5 TFLOPS FP16	4GB LPDDR4	5–10W	Around ₹40,000
Jetson Orin Nano 8GB	Up to 40 TOPS standard / 67 TOPS Super	8GB LPDDR5	7–25W	Around ₹74,000–₹79,000
Jetson Orin NX 8GB	Up to 70 TOPS	8GB LPDDR5	10–40W	Around ₹1.09 lakh+
Jetson Orin NX 16GB	Up to 100 TOPS	16GB LPDDR5	10–40W	Around ₹1.52 lakh+

*Indicative prices based on currently listed configurations and can vary by carrier board, storage, power supply, enclosure, and availability. NVIDIA lists the Orin Nano series at up to 67 TOPS and the Orin NX 16GB at up to 100 TOPS. Current Robocraze listings show the original Nano 4GB around ₹39,999, Orin Nano Super 8GB around ₹73,999, Orin NX 8GB around ₹1,09,399, and Orin NX 16GB around ₹1,51,799.

Which Jetson Model Should You Choose?

Jetson Nano: Suitable for learning NVIDIA edge AI, basic computer vision, smaller robotics projects, and existing Nano-based designs.
Jetson Orin Nano: A stronger choice for new edge AI projects requiring modern CUDA, TensorRT, computer vision, and higher inference performance.
Jetson Orin NX 8GB: Better suited to demanding robotics, multi-camera vision, and multiple AI models running at the edge.
Jetson Orin NX 16GB: Designed for heavier AI workloads that benefit from additional memory and up to 100 TOPS of AI performance.

Jetson vs Raspberry Pi 5 for AI Workloads

Raspberry Pi 5 is a strong general-purpose development board, but Jetson platforms are designed around NVIDIA's accelerated AI ecosystem. For workloads involving CUDA, TensorRT, GPU-accelerated computer vision, and AI inference, Jetson is generally the more direct choice.

Requirement	Jetson Nano / Orin	Raspberry Pi 5
General Linux projects	Excellent	Excellent
GPIO and electronics	Excellent	Excellent
CUDA acceleration	Yes	No
NVIDIA TensorRT ecosystem	Yes	No
Computer vision AI	Strong	Strong with suitable accelerator
AI accelerator	Integrated NVIDIA GPU/Tensor Cores on Orin	Requires compatible AI HAT for accelerated AI
Best suited for	Edge AI, robotics, computer vision	General computing, electronics, automation, lighter AI

Raspberry Pi 5 can also be used for accelerated AI when paired with an AI HAT+. Current Raspberry Pi AI HAT+ options provide 13 or 26 TOPS, while AI HAT+ 2 provides 40 TOPS and supports additional generative AI workloads. This makes Raspberry Pi 5 a viable option when the project needs the broader Raspberry Pi ecosystem and a separate AI accelerator rather than NVIDIA's integrated AI platform.

For CUDA-based AI development, GPU inference, advanced computer vision, and robotics, Jetson is usually the better fit. For general-purpose computing, GPIO projects, lower-cost automation, and standard Linux applications, Raspberry Pi 5 can be more practical.

Required Accessories for a Jetson Nano Setup

A Jetson board or module is only part of the system. Check the required accessories before ordering, especially when comparing standalone modules with complete developer kits.

Power Supply

Use a power supply that matches the exact Jetson model and carrier board. Orin systems can operate across different configurable power modes, so the required supply depends on the platform and workload. NVIDIA's Orin Nano Developer Kit, for example, includes a dedicated DC power supply.

Carrier Board

Jetson Nano and Jetson Orin modules may require a compatible carrier board for power, USB, display, networking, GPIO, camera, and storage interfaces. Confirm carrier-board compatibility before buying an Orin Nano or Orin NX module. Orin Nano and Orin NX modules share the same 260-pin form factor, allowing compatible carrier boards to support both families.

Cooling

AI workloads generate significantly more heat than basic Linux use. A heatsink and active fan are recommended for sustained workloads, particularly when running computer vision, TensorRT inference, or higher-power Orin modes. NVIDIA specifically notes that higher Orin power modes require an appropriate thermal design.

Storage

Storage requirements depend on the model and carrier board. Jetson systems may use microSD, eMMC, or NVMe storage depending on the configuration. NVMe SSDs are useful for larger AI models, datasets, applications, and faster read/write operations. The Orin Nano Developer Kit provides microSD support and M.2 NVMe expansion through its carrier board.

Other Useful Accessories

For robotics and computer vision builds, consider:

CSI camera modules for vision applications
USB cameras and peripherals
Wi-Fi or Ethernet connectivity
HDMI or DisplayPort display
Enclosure or mounting hardware
GPIO, I2C, SPI, UART, and other interface accessories
NVMe SSD for larger AI models and datasets

Getting Started: How to Set Up Jetson Nano

Prepare the storage: Download the appropriate NVIDIA JetPack or Jetson image for the specific Jetson model and flash the supported microSD card or storage device.
Install the storage: Insert the prepared microSD card into the Jetson Nano or connect the supported storage device.
Connect peripherals: Connect a keyboard, mouse, display, Ethernet or supported wireless adapter, and the appropriate power supply.
Power on the board: Start the Jetson and complete the Linux setup process.
Connect to the network: Ethernet or compatible Wi-Fi can be used for software installation and updates.
Install required software: JetPack provides the NVIDIA software stack used for CUDA-accelerated development, computer vision, and AI workloads.
Test an AI application: Run a supported computer vision or inference example to verify the camera, GPU acceleration, and software environment.

For Orin Nano and Orin NX, use the JetPack version and installation process supported by the exact module and carrier board rather than applying an older Jetson Nano setup image.

AI Projects You Can Build with Jetson Nano

Real-Time Object Detection: Run computer vision models such as YOLO or SSD for people, vehicles, and object detection.
Face Recognition: Combine cameras, OpenCV, and AI models for access-control or attendance prototypes.
Autonomous Robotics: Use Jetson as the compute platform for vision-guided robots, ROS-based systems, and autonomous navigation.
AI Voice Assistant: Run supported speech-recognition and text-to-speech workloads locally.
Smart CCTV: Process video streams locally for motion detection, object tracking, and event recognition.
Gesture Recognition: Use camera input and AI models to identify hand gestures and control connected systems.
License Plate Recognition: Build edge-based ANPR prototypes for parking, access control, and traffic applications.

For new projects with heavier AI requirements, consider the Orin Nano or Orin NX instead of the original Jetson Nano. Their higher AI performance, newer GPU architecture, and expanded software capabilities make them better suited to demanding edge AI workloads.

Related Collections

AI Cameras – USB cameras, IMX sensors, depth cameras for vision projects.
Sensors – LIDAR, IMUs, ultrasonic, temperature, and environment sensors.
Edge Devices & SBCs – ESP32, Raspberry Pi, XIAO, and other compute modules.

1. What is the price of NVIDIA Jetson Nano in India?

The price of an NVIDIA Jetson Nano varies by model, storage, carrier board, and included accessories. The NVIDIA Jetson Nano B01 4GB Developer Kit is currently listed around ₹19,799, while Jetson Nano-based development boards with additional storage and expansion features can cost around ₹39,999. Check the complete configuration before comparing prices.

2. Jetson Nano vs Raspberry Pi 5 - which is better for AI?

Jetson Nano is better suited to AI workloads that benefit from NVIDIA GPU acceleration, CUDA, TensorRT, and computer vision frameworks. Raspberry Pi 5 is a stronger general-purpose development board and can support AI with an additional accelerator. For GPU-accelerated AI and computer vision, Jetson is generally the more suitable platform.

3. What accessories do I need with a Jetson developer kit?

The required accessories depend on the Jetson model and whether you are buying a complete developer kit or a standalone module. Common requirements include a compatible power supply, carrier board where applicable, cooling, storage, display, keyboard, mouse, and network connection. Camera modules, NVMe storage, and enclosures may also be useful for robotics and AI projects.

4. Can Jetson Nano run YOLO object detection?

Yes. Jetson Nano can run optimized YOLO object-detection models for real-time or near-real-time computer vision applications. Performance depends on the YOLO version, model size, input resolution, optimization, and camera workload. Smaller models are generally more practical on the Jetson Nano's available computing and memory resources.

5. Is Jetson Nano suitable for robotics projects?

Yes. Jetson Nano can be used as the computing platform for robotics projects involving computer vision, object detection, autonomous navigation, cameras, and AI inference. Its GPIO and peripheral interfaces also allow it to work alongside sensors, motor controllers, and other robotics hardware.

6. What is the difference between Jetson Nano and Jetson Orin Nano?

Jetson Orin Nano is a newer Jetson platform with substantially higher AI performance and newer GPU architecture than the original Jetson Nano. The original Nano is suitable for existing projects and entry-level AI development, while Orin Nano is a better choice for new, more demanding AI and robotics applications.

NVIDIA Jetson Nano Development Boards & Kits

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Categories

Featured Products

Finding the Right Jetson Nano Boards for Your Next Project

All About NVIDIA Jetson Nano Development Boards & Kits

Jetson Nano vs Orin Nano vs Orin NX

Which Jetson Model Should You Choose?

Jetson vs Raspberry Pi 5 for AI Workloads

Required Accessories for a Jetson Nano Setup

Power Supply

Carrier Board

Cooling

Storage

Other Useful Accessories

Getting Started: How to Set Up Jetson Nano

AI Projects You Can Build with Jetson Nano

Related Collections

Frequently Asked Questions

1. What is the price of NVIDIA Jetson Nano in India?

2. Jetson Nano vs Raspberry Pi 5 - which is better for AI?

3. What accessories do I need with a Jetson developer kit?

4. Can Jetson Nano run YOLO object detection?

5. Is Jetson Nano suitable for robotics projects?

6. What is the difference between Jetson Nano and Jetson Orin Nano?

Let customers speak for us

NVIDIA Jetson Nano Development Boards & Kits

Refined By Clear all

Categories

Featured Products

Sort by:

Finding the Right Jetson Nano Boards for Your Next Project

All About NVIDIA Jetson Nano Development Boards & Kits

Jetson Nano vs Orin Nano vs Orin NX

Which Jetson Model Should You Choose?

Jetson vs Raspberry Pi 5 for AI Workloads

Required Accessories for a Jetson Nano Setup

Power Supply

Carrier Board

Cooling

Storage

Other Useful Accessories

Getting Started: How to Set Up Jetson Nano

AI Projects You Can Build with Jetson Nano

Related Collections

Frequently Asked Questions

1. What is the price of NVIDIA Jetson Nano in India?

2. Jetson Nano vs Raspberry Pi 5 - which is better for AI?

3. What accessories do I need with a Jetson developer kit?

4. Can Jetson Nano run YOLO object detection?

5. Is Jetson Nano suitable for robotics projects?

6. What is the difference between Jetson Nano and Jetson Orin Nano?

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