AUTO Connected Car News’ Post

Volvo EX90 Sofware-Defined & NVIDIA Drive Powered https://lnkd.in/gS9cqqnH auto connected car newsThe new Volvo EX90 is the first Volvo car to be truly software-defined—built on a centralized core compute architecture made possible through Volvo’s long-standing collaboration with NVIDIA. The EX90’s industry-leading core computing system is powered by an NVIDIA DRIVE Orin system-on-a-chip (SoC), capable of over 250 trillion operations per second (TOPS). This core compute system orchestrates everything in the car: from powering the deep learning capabilities underpinning Volvo’s AI-based active safety and driving assistance systems, to aiding in the future introduction of safe autonomous driving, and delivering a best-in-class customer experience. To fully unlock the potential of its software-defined car

Volvo EX90 Sofware-Defined & NVIDIA Drive Powered https://lnkd.in/gYbnxcKx auto connected car newsThe new Volvo EX90 is the first Volvo car to be truly software-defined—built on a centralized core compute architecture made possible through Volvo’s long-standing collaboration with NVIDIA. The EX90’s industry-leading core computing system is powered by an NVIDIA DRIVE Orin system-on-a-chip (SoC), capable of over 250 trillion operations per second (TOPS). This core compute system orchestrates everything in the car: from powering the deep learning capabilities underpinning Volvo’s AI-based active safety and driving assistance systems, to aiding in the future introduction of safe autonomous driving, and delivering a best-in-class customer experience. To fully unlock the potential of its software-defined car

Some great things are happening at NVIDIA! Check out this great article showcasing some of the latest enhancements to autonomy. #saferroads #autonomousvehicles

From Car to Cloud: Volvo Cars Expands Partnership with NVIDIA Instead of focusing on technology for technology's sake, Volvo Cars (VC) develops human-centered technologies that create value and make cars safer and life better without compromising safety. One of the key parts of this goal is the software-defined car, which integrates next-generation safety, connectivity, data and software into one product. According to foreign media reports, based on a long-term cooperation with NVIDIA (NVIDIA), Volvo launched its first truly software-defined car new Volvo EX90. The EX90's leading core computing system is powered by the NVIDIA DRIVE Orin system-on-chip (SoC), which can perform more than 250 trillion operations per second (TOPS). This core computing system orchestrates everything in the automobile: from supporting deep learning capabilities for AI-based active safety and driver assistance systems, to helping introduce safe autonomous driving in the future and delivering a best-in-class customer experience. To help realize the full potential of software-defined cars with a centralized core computing architecture, Volvo is taking its partnership with NVIDIA to the next level. By the end of the century, the two companies will introduce NVIDIA DRIVE Thor-based cars that are capable of up to 1,000 TOPs of computing power, which is equivalent to four times the computing power per second of a DRIVE Orin SoC, while delivering seven times the energy efficiency. The integration of DRIVE Thor will help further ensure that Volvo's next-generation cars are future-proof. Integrating DRIVE Thor with the NVIDIA Blackwell GPU architecture will enable Volvo to deploy more advanced driver assistance and safety features, develop autonomous driving, and introduce AI-based generative features and in-vehicle experiences. To further explore the potential of AI, Volvo Cars is also using the NVIDIA DGX system, an AI supercomputing platform optimized for large workloads, through its wholly owned software company, Zenseact, to help develop safe autonomous driving. The DGX system is used for AI model training and will later be deployed in our future fleet. With the power of NVIDIA's DGX platform, which leverages its purpose-built AI infrastructure and optimized software stack, Volvo can increase the efficiency of training current and future AI models. With Volvo's longstanding partnership with NVIDIA and use of the production-proven NVIDIA DRIVE platform, Ask Extra is able to further explore and apply its deep understanding of safety when training large-scale base AI models. These models are used to help cars better understand the world around them to further improve their safety and convenience and develop autonomous driving. #automotive #innovation #technology

NVIDIA, a leading provider of computing solutions, has announced that Li Auto has chosen the NVIDIA DRIVE Thor centralized car computer to power its next-gen fleets. Li Auto, a pioneer in extended-range electric vehicles, currently uses two NVIDIA DRIVE Orin processors to power its assisted-driving system in L-series models. The processors provide a combined 508 trillion operations per second (TOPS), powering full-scenario autonomous driving for navigation on advanced driver-assistance systems. NVIDIA also announced that GWM Brasil, Zeekr Europe, and Xiaomi have adopted the NVIDIA DRIVE Orin platform to power their intelligent automated-driving systems. According to Xinzhou Wu, vice president of automotive at NVIDIA, the transportation industry is embracing centralized compute for highly automated and autonomous driving. He adds, "The AI car computer of choice for today's intelligent fleets is NVIDIA DRIVE Orin, with automakers increasingly looking to the advanced capabilities and AI performance of its successor, NVIDIA DRIVE Thor, for their future vehicle roadmaps." The NVIDIA DRIVE Thor integrates a wide range of intelligent functions into a single AI compute platform, delivering autonomous driving and parking capabilities, driver and passenger monitoring, and AI cockpit functionality. Li Auto's new AD Max 3.0 upgrade transitions the system to an end-to-end algorithmic architecture dominated by large AI models. It delivers a safer, more comfortable intelligent driving experience using an occupancy network and spatio-temporal trajectory planning and model-predictive control algorithms. #NVIDIA #DRIVEThor #LiAuto #ExtendedRangeElectricVehicles #AutonomousDriving #AIinTransportation #DRIVEOrin #IntelligentFleets #AutomatedDrivingSystems #GWM #ZEEKR #Xiaomi #SmartTransportation #AIComputing #AutomotiveTechnology #AutonomousVehicles #IntelligentMobility #FutureOfTransportation #AIInnovation #AdvancedDriverAssistance #FullScenarioDriving #ElectricVehicleTech #SmartCars #AIPerformance #InnovationInTransportation #TechIntegration #DriverMonitoring #PassengerMonitoring #CockpitFunctionality #AlgorithmicArchitecture #IntelligentDrivingExperience

NVIDIA, a leading provider of computing solutions, has announced that Li Auto has chosen the NVIDIA DRIVE Thor centralized car computer to power its next-gen fleets. Li Auto, a pioneer in extended-range electric vehicles, currently uses two NVIDIA DRIVE Orin processors to power its assisted-driving system in L-series models. The processors provide a combined 508 trillion operations per second (TOPS), powering full-scenario autonomous driving for navigation on advanced driver-assistance systems. NVIDIA also announced that GWM Brasil, Zeekr Europe, and Xiaomi have adopted the NVIDIA DRIVE Orin platform to power their intelligent automated-driving systems. According to Xinzhou Wu, vice president of automotive at NVIDIA, the transportation industry is embracing centralized compute for highly automated and autonomous driving. He adds, "The AI car computer of choice for today's intelligent fleets is NVIDIA DRIVE Orin, with automakers increasingly looking to the advanced capabilities and AI performance of its successor, NVIDIA DRIVE Thor, for their future vehicle roadmaps." The NVIDIA DRIVE Thor integrates a wide range of intelligent functions into a single AI compute platform, delivering autonomous driving and parking capabilities, driver and passenger monitoring, and AI cockpit functionality. Li Auto's new AD Max 3.0 upgrade transitions the system to an end-to-end algorithmic architecture dominated by large AI models. It delivers a safer, more comfortable intelligent driving experience using an occupancy network and spatio-temporal trajectory planning and model-predictive control algorithms. #NVIDIA #DRIVEThor #LiAuto #ExtendedRangeElectricVehicles #AutonomousDriving #AIinTransportation #DRIVEOrin #IntelligentFleets #AutomatedDrivingSystems #GWM #ZEEKR #Xiaomi #SmartTransportation #AIComputing #AutomotiveTechnology #AutonomousVehicles #IntelligentMobility #FutureOfTransportation #AIInnovation #AdvancedDriverAssistance #FullScenarioDriving #ElectricVehicleTech #SmartCars #AIPerformance #InnovationInTransportation #TechIntegration #DriverMonitoring #PassengerMonitoring #CockpitFunctionality #AlgorithmicArchitecture #IntelligentDrivingExperience

NVIDIA and Zoox Pave the Way for Autonomous Ride-Hailing 🚘🤖 To celebrate Zoox's 10th anniversary, NVIDIA CEO Jensen Huang discussed AV innovation with Zoox leaders and took a robotaxi ride. Key highlights: - Zoox pioneered purpose-built robotaxis for ride-hailing using NVIDIA tech - Zoox robotaxis are supercomputers on wheels powered by multiple NVIDIA GPUs - NVIDIA GPUs & software enable extensive simulation for virtual AV testing - Zoox's unique bidirectional robotaxi design optimizes autonomous operation & passenger comfort - Zoox among select few permitted to test AVs without safety drivers in CA - Robotaxi market projected to hit 5M deployments by 2030, 34M by 2035 With NVIDIA's partnership, Zoox combines onboard computing & simulation to create a next-gen robotaxi solution poised to redefine safe, sustainable urban mobility. 🌇🌱 #AutonomousVehicles #Robotaxis #NVIDIA #Zoox #Simulation #Sustainability #UrbanMobility https://lnkd.in/gEJEkX7w

#NVIDIA DRIVE Thor is a next-generation centralized computer designed for safe and secure autonomous vehicles. Here are some key features: Performance: DRIVE Thor can achieve up to 2,000 teraflops of performance. Unified Intelligent Functions: It unifies intelligent functions such as automated and assisted driving, parking, driver and occupant monitoring, digital instrument cluster, in-vehicle infotainment (IVI), and rear-seat entertainment into a single architecture for greater efficiency and lower overall system cost. AI Capabilities: The system comes packed with the cutting-edge AI capabilities first introduced in the NVIDIA Hopper™ Multi-Instance GPU architecture, along with the NVIDIA Grace™ CPU and NVIDIA Ada Lovelace GPU. Domain Isolation: DRIVE Thor with MIG support for graphics and compute uniquely enables IVI and advanced driver-assistance systems to run domain isolation, which allows concurrent time-critical processes to run without interruption. Availability: It will be available for automakers’ 2025 models. Adoption: Geely-owned automaker ZEEKR announced it will integrate DRIVE Thor on its centralized vehicle computer for its next-generation intelligent electric vehicles, starting production in early 2025. DRIVE Thor is poised to revolutionize the automotive landscape, ushering in an era where generative AI defines the driving experience. #DriveThor #Nvidia

NVIDIA DRIVE Partners Showcase Cutting-Edge Innovations in Automated and Autonomous Driving: The automotive industry is being transformed by the integration of cutting-edge technologies into software-defined cars. At CES, NVIDIA invited industry leaders to share their perspectives on how technology, especially AI and computing power, is shaping the future of transportation. Watch the video to learn more from NVIDIA’s auto partners. Redefining Possibilities Through Partnership Magnus Ostberg, Read article > #car #cars #awesome