WaveFarer Integrations

Red Hat Enterprise Linux is a powerful operating system tailored for business environments, boasting a wide range of certifications across various cloud platforms and numerous vendors. It provides a stable foundation that promotes uniformity across diverse settings while supplying users with crucial tools to expedite the delivery of services and workloads for multiple applications. By reducing deployment hurdles and costs, Red Hat Enterprise Linux accelerates the realization of value for critical workloads, promoting collaboration and innovation among development and operations teams in different environments. In addition, it strengthens hybrid cloud infrastructures by extending functionalities to edge locations, serving hundreds of thousands of nodes worldwide. Users have the ability to create optimized OS images for edge computing, limit disruptions due to OS updates, perform system updates more effectively, and take advantage of automatic health checks and rollback options. Moreover, specialized command line utilities are provided to facilitate inventory management and remediation tasks associated with subscription upgrades or migrations from other Linux distributions, ensuring a smooth and efficient transition. This adaptability not only empowers organizations to efficiently oversee their IT resources but also positions them to thrive in an ever-evolving technological landscape, making Red Hat Enterprise Linux a crucial ally in digital transformation.

The integration of software transforms a vehicle into an intelligent machine, with the NVIDIA DRIVE™ Software stack acting as an open platform that empowers developers to design and deploy a diverse array of advanced applications for autonomous vehicles, including functions such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. Central to this software ecosystem is DRIVE OS, hailed as the inaugural operating system specifically engineered for secure accelerated computing. This robust system leverages NvMedia for sensor input processing, NVIDIA CUDA® libraries to enable effective parallel computing, and NVIDIA TensorRT™ for real-time AI inference, along with a variety of tools and modules that unlock hardware capabilities. Building on the foundation of DRIVE OS, the NVIDIA DriveWorks® SDK provides crucial middleware functionalities essential for the advancement of autonomous vehicles. Key features of this SDK include a sensor abstraction layer (SAL), multiple sensor plugins, a data recording system, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are integral to improving the performance and dependability of autonomous systems. By harnessing these powerful resources, developers find themselves better prepared to explore innovative solutions and expand the horizons of automated transportation, fostering a future where smart vehicles can navigate complex environments with greater autonomy and safety.