List of Cerbrec Graphbook Integrations
This is a list of platforms and tools that integrate with Cerbrec Graphbook. This list is updated as of April 2025.
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Amazon Web Services (AWS)
Amazon
Empower your innovation with unparalleled cloud resources and services.For those seeking computing power, data storage, content distribution, or other functionalities, AWS offers the essential resources to develop sophisticated applications with improved adaptability, scalability, and reliability. As the largest and most prevalent cloud platform globally, Amazon Web Services (AWS) features over 175 comprehensive services distributed across numerous data centers worldwide. A wide array of users, from swiftly evolving startups to major enterprises and influential governmental organizations, utilize AWS to lower costs, boost efficiency, and speed up their innovative processes. With a more extensive selection of services and features than any other cloud provider—ranging from fundamental infrastructure like computing, storage, and databases to innovative technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things—AWS simplifies the transition of existing applications to the cloud. This vast range of offerings not only enables businesses to harness the full potential of cloud technologies but also fosters optimized workflows and heightened competitiveness in their industries. Ultimately, AWS empowers organizations to stay ahead in a rapidly evolving digital landscape. -
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Microsoft for Startups Founders Hub
Microsoft
Empowering entrepreneurs with free resources, mentorship, and technology.The Microsoft for Startups Founders Hub is designed to break down traditional barriers to entrepreneurship by providing free access to vital technology, mentorship, and resources essential for reaching your future objectives. Please note that the Founders Hub is currently in a limited preview phase, and applications will be reviewed continuously, with notifications sent regarding approval status. Turn your visions into reality with complimentary Azure credits, which empower you to create, operate, and manage applications across diverse cloud platforms using the tools and frameworks you prefer. Improve your workflow, reduce costs, and facilitate remote collaboration with Microsoft Teams and other available resources. A strong and diverse network is crucial for startup success, and we are committed to making this invaluable asset available to all by offering customized technical support from experts at every developmental stage. Furthermore, we provide self-directed learning opportunities to equip you with the skills required to tackle your upcoming challenges effectively. This initiative signifies a major advancement in making essential startup resources more accessible to all entrepreneurs. By fostering an inclusive environment, we aim to inspire innovation and growth within the startup community. -
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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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