Back to Blog
Ivi pro pc7/2/2023 ![]() Safety is incorporated into every step of the company’s development process - including design, production and vehicle operation. NVIDIA is the only company with a unified safety approach across its entire system, from the data center to the fleet. ![]() NVIDIA has invested more than 15,000 engineering years into safety across its full stack. “The virtualization, high-speed data transfer and massive processing performance of NVIDIA DRIVE Thor can enable safer vehicles, better user experiences and potential new revenue streams.”ĭRIVE Thor is designed for the highest levels of functional safety. “The shift to software-defined vehicles with centralized electronic architectures is accelerating, driving a need for more powerful and more energy-efficient compute platforms,” said Sam Abuelsamid, principal research analyst at Guidehouse Insights. This equips automakers with the compute headroom and flexibility to build software-defined vehicles that are continuously upgradeable through secure, over-the-air software updates. The advantage of the NVLink-C2C is its ability to share, schedule and distribute work across the link with minimal overhead. The new superchip also uses the latest NVLink ® -C2C chip interconnect technology, while running multiple operating systems. DRIVE Thor features 2,000 teraflops of FP8 precision, allowing the transition to 8-bit without sacrificing accuracy. Typically, developers lose neural-network accuracy when moving from 32-bit FP data to 8-bit integer format. ![]() With this engine, DRIVE Thor can accelerate inference performance of transformer deep neural networks by up to 9x, which is paramount for supporting the massive and complex AI workloads associated with self driving.Īnother advantage of DRIVE Thor is its 8-bit floating point (FP8) capability. With DRIVE Thor, manufacturers can efficiently consolidate many functions on a single system-on-a-chip (SoC), which eases supply constraints and simplifies vehicle-design development, resulting in significantly lower cost, less weight and fewer cables.ĭRIVE Thor is the first AV platform to incorporate an inference transformer engine, a new component of the Tensor Cores within NVIDIA GPUs. Typically, dozens of electric control units are distributed throughout a vehicle to power individual functions. NVIDIA DRIVE Thor will support our mission of providing cutting-edge technology that fulfills the needs of our customers and ensures ZEEKR remains at the forefront of tomorrow’s innovations.”ĭRIVE Thor supports multi-domain computing, isolating functions for automated driving and IVI. ZEEKR CEO An Conghui said: “ZEEKR users demand a luxury experience that includes the latest technology and safety features. Signaling the transportation industry’s support for this new supercomputing architecture, 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 the superhero of centralized compute, with lightning-fast performance to deliver continuously upgradable, safe and secure software-defined supercomputers on wheels.” “Advances in accelerated computing and AI are moving at lightspeed,” said Jensen Huang, founder and CEO of NVIDIA. Available for automakers’ 2025 models, it will accelerate production roadmaps by bringing higher performance and advanced features to market in the same timeline. 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. The next-generation superchip 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. ![]() GTC - NVIDIA today introduced NVIDIA DRIVE™ Thor, its next-generation centralized computer for safe and secure autonomous vehicles.ĭRIVE Thor, which achieves up to 2,000 teraflops of performance, unifies intelligent functions - including 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.
0 Comments
Read More
Leave a Reply. |