RightNow AI Integrations

CUDA® is a powerful parallel computing platform and programming framework created by NVIDIA, designed for executing general computing tasks on graphics processing units (GPUs). By utilizing CUDA, developers can significantly enhance the performance of their computing applications by leveraging the immense capabilities of GPUs. In applications that are GPU-accelerated, the sequential components of the workload are handled by the CPU, which excels in single-threaded tasks, while the more compute-heavy segments are processed simultaneously across thousands of GPU cores. When working with CUDA, programmers can use familiar languages such as C, C++, Fortran, Python, and MATLAB, incorporating parallelism through a concise set of specialized keywords. NVIDIA’s CUDA Toolkit equips developers with all the essential tools needed to create GPU-accelerated applications. This comprehensive toolkit encompasses GPU-accelerated libraries, an efficient compiler, various development tools, and the CUDA runtime, making it easier to optimize and deploy high-performance computing solutions. Additionally, the versatility of the toolkit allows for a wide range of applications, from scientific computing to graphics rendering, showcasing its adaptability in diverse fields.

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.