中文網
Taipei
Mon, Sep 26, 2022
02:25
CONNECT WITH US

Nvidia intros Drive Thor for autonomous vehicles

Rodney Chan, DIGITIMES Asia, Taipei 0

Nvidia Drive Thor. Credit: Nvidia

Nvidia has introduced Drive Thor, its next-generation centralized computer for safe and secure autonomous vehicles.

Drive 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, said the vendor.

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. Drive Thor with MIG support for graphics and compute enables IVI and advanced driver-assistance systems (ADAS) to run domain isolation, which allows concurrent time-critical processes to run without interruption. Available for automakers' 2025 models, it will accelerate production roadmaps by bringing higher performance and advanced features to market in the same timeline.

"Advances in accelerated computing and AI are moving at lightspeed," said Jensen Huang, founder and CEO of Nvidia. "Drive Thor is the superhero of centralized compute, with lightning-fast performance to deliver continuously upgradable, safe and secure software-defined supercomputers on wheels."

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 (EV), starting production in early 2025.

Drive Thor supports multi-domain computing, isolating functions for automated driving and IVI. Typically, dozens of electric control units are distributed throughout a vehicle to power individual functions. 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, said Nvidia.

Drive Thor is the first AV platform to incorporate an inference transformer engine, a new component of the Tensor Cores within Nvidia GPUs. 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, said Nvidia.

The new superchip also uses the latest NVLink-C2C chip interconnect technology, while running multiple operating systems. The advantage of the NVLink-C2C is its ability to share, schedule and distribute work across the link with minimal overhead. 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 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. "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."

Related stories