List of NVIDIA Air Integrations

This is a list of platforms and tools that integrate with NVIDIA Air. This list is updated as of April 2025.

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    SONiC Reviews & Ratings

    SONiC

    NVIDIA Networking

    Empower your network with independent, flexible open-source solutions.
    NVIDIA introduces pure SONiC, an open-source, community-focused, Linux-based network operating system that has been enhanced within the data centers of prominent cloud service providers. By adopting pure SONiC, businesses can overcome distribution limitations and fully harness the benefits of open networking, supported by NVIDIA's vast expertise, thorough training, detailed documentation, professional services, and ongoing support to facilitate successful deployment. Moreover, NVIDIA provides extensive backing for Free Range Routing (FRR), SONiC, Switch Abstraction Interface (SAI), systems, and application-specific integrated circuits (ASIC), all integrated into a single platform. Unlike conventional distributions, SONiC enables organizations to remain independent from a sole vendor for updates, bug fixes, or security improvements. This independence allows businesses to simplify management tasks and make use of their current management tools across their data center activities, leading to improved operational efficiency. Consequently, the flexibility of SONiC not only enhances network management but also empowers organizations to adapt to their specific needs, making it an invaluable choice for those aiming for effective network oversight.
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    NVIDIA Cumulus Linux Reviews & Ratings

    NVIDIA Cumulus Linux

    NVIDIA Networking

    Transform your data center with seamless integration and efficiency.
    Streamline the intricacies of your data center and ensure flawless interoperability by adopting Linux. Cumulus Linux not only incorporates standard security measures but also offers distinctive security enhancements that are exclusive to its system. You can utilize familiar Linux-based management tools and the knowledge of your team, which enables each engineer to oversee a larger number of switches efficiently. Enjoy the advantages of seamless integration along with top-tier tools tailored for automation, monitoring, and analytics, among other capabilities. Running multiple network paths without the need for extra switches guarantees traffic isolation and proper network segmentation for a variety of devices. The shift from design to physical connections is made simple and effective. With PTM, your data center gains the ability to swiftly check connections and resolve any issues that may arise. Experience exceptional speeds and low latencies by implementing RoCE, which only requires a single line of code to set up. This method not only boosts performance but also enhances the overall efficiency of your network infrastructure. Furthermore, the combination of these features can lead to significant improvements in operational productivity and resource management.
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    NVIDIA DRIVE Reviews & Ratings

    NVIDIA DRIVE

    NVIDIA

    Empowering developers to innovate intelligent, autonomous transportation solutions.
    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.
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