ADAS | 先進駕駛輔助系統

With the advent of generative AI and other practical applications of artificial intelligence, the procurement of “AI servers” has become a priority for industries ranging from automotive to healthcare, and for academic and public institutions alike. In GIGABYTE Technology’s latest Tech Guide, we take you step by step through the eight key components of an AI server, starting with the two most important building blocks: CPU and GPU. Picking the right processors will jumpstart your supercomputing platform and expedite your AI-related computing workloads.

Artificial intelligence. The world is abuzz with its name, yet how much do you know about this exciting new trend that is reshaping our world and history? Fret not, friends; GIGABYTE Technology has got you covered. Here is what you need to know about the ins and outs of AI, presented in 10 bite-sized Q and A’s that are fast to read and easy to digest!

If you work in the automotive and transportation industry, spend a few minutes to read our in-depth analysis of how artificial intelligence has created new opportunities in this sector, and what tools you can use to get ahead. This article is part of GIGABYTE Technology’s ongoing “Power of AI” series, which examines the latest AI-related trends, and how intrepid visionaries can reap the benefits of this exciting paradigm shift.

Developed by the Automotive Research Testing Center (ARTC), the WinBus is Taiwan’s first self-driving electric bus that has reached SAE Level 4 Driving Automation. GIGABYTE PILOT, GIGABYTE Technology’s Autonomous-Driving Control Unit (ADCU), is the AI Mobile Edge Computing Platform at the heart of the autonomous vehicle. It provides superb processing power to support the deployment of self-driving AI algorithms, versatile connectivity to act as the hub between onboard sensors and the vehicle control system, and a rugged and reliable design that is ready for long-term operations. GIGABYTE PILOT is the ideal choice for autonomous vehicles, vessels, heavy machinery, and autonomous mobile robots (AMRs).

Representing Hsinchu’s Tsing Hua University, NTHU Racing is one of Taiwan’s top Formula Student racing teams. In 2019, its electric formula student race car, the “TH04”, took second place in Formula SAE Japan. In August of 2022, its new and improved, 100% manufactured in Taiwan “TH06” raced for the gold in Formula Student Germany. Tsing Hua University built the “TH06” using GIGABYTE Technology’s W771-Z00 and W331-Z00 Tower Server/Workstation products. From finite element analysis (FEA) and computational fluid dynamics (CFD) modelling and analysis during the design phase, to racing simulations and experimenting with new tech during the testing phase, GIGABYTE servers provided NTHU Racing with the processing power and versatility it needed to engineer a high-performing electric vehicle that can go from 0 to 100 kph in 3.3 seconds—almost on par with Tesla’s Model S, which can go from 0 to 60 mph in 2.6 seconds.

A team of scientists at NTU has adopted GIGABYTE’s G242-P32 server and the Arm HPC Developer Kit to incubate a “high-precision traffic flow model”—a smart traffic solution that can be used to test autonomous vehicles and identify accident-prone road sections for immediate redress. The ARM-based solution gives the project a 200% boost in efficiency, thanks to the cloud-native processor architecture that “speaks” the same coding language as the roadside sensors, the high number of CPU cores that excel at parallel computing, the synergy with GPUs that enable heterogeneous computing, and the ISO certifications which make the resulting model easily deployable for automakers and government regulators alike.

GIGABYTE’s High Density Servers Help Technology Innovator Develop Algorithm for Autonomous Vehicle.