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Discover NVIDIA Jetson series single-board computers with superior GPU performance for your artificial intelligence, machine learning, and advanced image processing projects, with Robotistan assurance.
NVIDIA is a leading American technology company in computer graphics, artificial intelligence, and high-performance computing.
Founded in 1993, NVIDIA was initially known for producing and marketing graphics processors.
NVIDIA is especially known in the gaming industry for its powerful and high-performance graphics processors.
GPUs provide gamers and graphics professionals with high-resolution visuals and a smooth gaming experience.
NVIDIA's GeForce GPU series has gained popularity and has become one of the leading brands in the gaming world.
NVIDIA's field of activity is not limited to gaming.
The company also operates in many other areas such as artificial intelligence, deep learning, autonomous driving, scientific computing, and data center solutions.
NVIDIA's GPUs add power to various applications by providing intensive computing power and parallel processing capabilities in these areas.
NVIDIA also supports developers and researchers with its own development boards and software tools.
Development boards are specially designed for artificial intelligence and deep learning projects and offer high-performance computing capabilities.
NVIDIA has developed innovative technologies over the years and has become a pioneer in the industry.
The company makes significant contributions to the computer industry with its graphics processors and artificial intelligence technologies.
NVIDIA's products and technologies are used in gaming, scientific research, data analytics, and many other areas.
NVIDIA development boards are specialized hardware platforms produced by NVIDIA and generally used in applications that require intensive processing power, such as artificial intelligence, deep learning, image processing, and high-performance computing.
Through development boards, NVIDIA offers developers and researchers powerful computing capabilities.
The boards usually include high-performance graphics processors and related software tools.
Popular NVIDIA development board series include models such as NVIDIA Jetson Nano, Jetson Xavier, and Jetson AGX Xavier.
NVIDIA development boards are specially designed for artificial intelligence and deep learning projects.
The boards provide intensive computing power through GPUs and can process large datasets with parallel processing capabilities.
They also include NVIDIA's CUDA platform and related software libraries, allowing developers to perform GPU-accelerated computing.
NVIDIA development boards are used in machine learning, artificial intelligence algorithms, image processing, autonomous systems, robotics, game development, and many other application areas.
They are usually used together with specialized software and frameworks to perform complex computing operations quickly and efficiently.
NVIDIA development boards are powerful tools for developers and researchers focused on high-performance computing and artificial intelligence projects.
They provide a significant advantage in solving complex problems, processing large datasets, developing image processing algorithms, and accelerating many operations.
While standard microcontrollers or traditional single-board computers from multiple brands focus on CPU power, artificial intelligence and deep learning algorithms require massive parallel processing power.
This is where NVIDIA development boards equipped with powerful graphics processors come into play.
The NVIDIA Jetson series enables you to process data directly on the hardware without sending it to the cloud and receive results in milliseconds in projects such as autonomous vehicles, smart city cameras, industrial defect detection, and advanced robotics systems.
On our category page, you can find NVIDIA models suitable for every scale, from AI-based prototypes to industrial production lines:
If you want to get started in the world of artificial intelligence and test deep learning models, the most popular and budget-friendly option is the NVIDIA Jetson Nano.
With a form factor close to Raspberry Pi, this board is a suitable platform for basic object recognition projects based on Python, TensorFlow, or PyTorch.
If your project needs to receive and process data from multiple high-resolution cameras simultaneously, you can choose Jetson Xavier NX or Jetson TX2 modules.
These models offer high TOPS values required especially in autonomous drone and robotic taxi projects in a compact size.
Special cooling fans, carrier boards, and industrial case solutions required to cool your systems are also listed under this category.
| NVIDIA Model | GPU Architecture | Ideal Use Case | Target Audience |
| Jetson Nano | 128-core Maxwell | Basic image processing, education | Students, makers |
| Jetson TX2 | 256-core Pascal | Advanced robotics, industrial analysis | R&D teams |
| Jetson Xavier NX | 384-core Volta | Multi-camera processing, edge AI | Professional system manufacturers |
If your project is based on a standard web server, home automation, or basic programming, Raspberry Pi may be the better choice. However, if your main goal is to run AI models, perform object detection in live video streams, or run machine learning algorithms, you can choose the NVIDIA Jetson Nano, which has GPU hardware acceleration.
The NVIDIA development ecosystem largely runs on Linux, specifically the Ubuntu-based JetPack operating system. The most commonly used programming language is Python. You can also use C++ and NVIDIA's CUDA platform to work closer to the hardware and directly program the GPU.
Yes, you can. However, Jetson series boards are optimized for quickly running and interpreting ready-made models that have already been trained on powerful computers or in the cloud, rather than training huge datasets from scratch. Transfer learning applications with small and medium-sized datasets can be performed on the device itself.
