WaveFarer Integrations

Red Hat Enterprise Linux serves as a robust operating system designed for enterprise use, with certifications spanning numerous cloud platforms and a vast array of vendors. It offers a reliable foundation that ensures consistency across different environments while equipping users with essential tools to accelerate the delivery of services and workloads for a wide range of applications. By minimizing deployment challenges and expenses, Red Hat Enterprise Linux enhances the speed at which value is realized for essential workloads, fostering collaboration and innovation among development and operations teams in various settings. Additionally, it enhances hybrid cloud infrastructures by extending capabilities to edge environments, reaching hundreds of thousands of nodes globally. Users can create OS images optimized for edge computing, reduce interruptions from OS updates, execute system updates with greater efficiency, and benefit from automatic health checks and rollback features. Furthermore, specialized command line tools are available to streamline inventory tasks and remediation processes linked to subscription upgrades or migrations from other Linux distributions, making the transition seamless and efficient. This versatility ensures that organizations can effectively manage their IT resources in a rapidly changing technological landscape.

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.