Heterogeneous Computing | 異質運算

If you work in healthcare and medicine, take some minutes to browse our in-depth analysis on how artificial intelligence has brought new opportunities to this sector, and what tools you can use to benefit from them. This article is part of GIGABYTE Technology’s ongoing “Power of AI” series, which examines the latest AI trends and elaborates on how industry leaders can come out on top of this invigorating paradigm shift.

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.

The speed, the precision, the vast amount of data need a computing cluster. Researchers Sergio Muñoz and Luis Bote at Rey Juan Carlos University worked with SIE and GIGABYTE to create a cluster composing of nodes: GPU, storage, compute, and head.

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.

Japanese telco giant KDDI Corporation has invented a new class of data centers that are mobile and eco-friendly. These “container-type immersion cooling small data centers” employ “single-phase immersion cooling” to reduce power consumption by 43% and lower the PUE below 1.07. GIGABYTE Technology drew from its years of experience in the telco sector to provide the R282-Z93 and R182-Z91 Rack Servers for KDDI to use as the management and GPU computing nodes in the data center. KDDI benefits from the servers’ powerful 3rd Gen AMD EPYC™ CPUs, the scalable, high-density configuration of NVIDIA® GPUs in small form factors, and the servers’ optimized compatibility with the liquid-based data center cooling solution. GIGABYTE’s participation in KDDI’s project is in line with GIGABYTE’s long-term CSR and ESG efforts, which are focused on working with global industry leaders to “Upgrade Your Life” with high tech while building a greener, more sustainable environment for our future.