List of the Top 3 Embedded Software Development Tools for CUDA in 2025

MATLAB® provides a specialized desktop environment designed for iterative design and analysis, complemented by a programming language that facilitates the straightforward expression of matrix and array computations. It includes the Live Editor, which allows users to craft scripts that seamlessly integrate code, outputs, and formatted text within an interactive notebook format. The toolboxes offered by MATLAB are carefully crafted, rigorously tested, and extensively documented for user convenience. Moreover, MATLAB applications enable users to visualize the interactions between various algorithms and their datasets. Users can enhance their outcomes through iterative processes and can easily create a MATLAB program to replicate or automate their workflows. Additionally, the platform supports scaling analyses across clusters, GPUs, and cloud environments with little adjustment to existing code. There is no necessity to completely change your programming habits or to learn intricate big data techniques. MATLAB allows for the automatic conversion of algorithms into C/C++, HDL, and CUDA code, permitting execution on embedded processors or FPGA/ASIC systems. In addition, when combined with Simulink, MATLAB bolsters the support for Model-Based Design methodologies, proving to be a flexible tool for both engineers and researchers. This versatility underscores MATLAB as a vital asset for addressing a broad spectrum of computational issues, ensuring that users can effectively tackle their specific challenges with confidence.

NVIDIA's Jetson platform emerges as a leading embedded AI computing solution, utilized by experienced developers to develop groundbreaking AI products across various industries, while also acting as an invaluable resource for students and enthusiasts eager to dive into hands-on AI projects and imaginative pursuits. This adaptable platform boasts compact and energy-efficient production modules and developer kits that come equipped with a powerful AI software stack, facilitating effective high-performance acceleration. These features enable the execution of generative AI at the edge, thus improving applications such as NVIDIA Metropolis and the Isaac platform. The Jetson family includes an array of modules tailored to meet different performance and power efficiency demands, featuring models such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is thoughtfully designed to fulfill specific AI computing requirements, catering to a broad range of projects that span from beginner initiatives to intricate robotics and industrial uses, thereby encouraging innovation and growth in the AI domain. By providing such a wide range of resources and tools, the Jetson platform inspires creators to explore and expand the possibilities within AI technology, ultimately shaping the future of intelligent solutions.

NVIDIA Isaac serves as an all-encompassing platform aimed at fostering the creation of AI-based robots, equipped with a variety of CUDA-accelerated libraries, application frameworks, and AI models that streamline the development of different robotic types, including autonomous mobile units, robotic arms, and humanoid machines. A significant aspect of this platform is NVIDIA Isaac ROS, which provides a comprehensive set of CUDA-accelerated computational tools and AI models, utilizing the open-source ROS 2 framework to enable the development of complex AI robotics applications. Within this robust ecosystem, Isaac Manipulator empowers the design of intelligent robotic arms that can adeptly perceive, comprehend, and engage with their environment. Furthermore, Isaac Perceptor accelerates the design process of advanced autonomous mobile robots (AMRs), enabling them to navigate challenging terrains like warehouses and manufacturing plants. For enthusiasts focused on humanoid robotics, NVIDIA Isaac GR00T serves as both a research endeavor and a developmental resource, offering crucial tools for general-purpose robot foundation models and efficient data management systems. This initiative not only supports researchers but also provides a solid foundation for future advancements in humanoid robotics. By offering such a diverse suite of capabilities, NVIDIA Isaac significantly enhances developers' ability to innovate and propel the robotics sector forward.