The University of Barcelona Gets a Computing Boost with GIGABYTE Servers
The Institute of Theoretical and Computational Chemistry at the University of Barcelona has increased the capacity of their on-campus data center by over 40% with a new cluster of GIGABYTE servers. Hundreds of researchers will benefit from the computing power of AMD EPYC™ processors. Administrators can easily manage the cluster with GIGABYTE Server Management (GSM), a proprietary multiple server remote management software platform provided for free by GIGABYTE.
Opening Up New Fields of Scientific Research with GIGABYTE
Industry-leading Computing Power Provided by AMD EPYC™ Processors
The G292-Z42 is a 2U 8-node GPU Server powered by AMD EPYC™ processors. It specializes in high density HPC applications and parallel computing. It is able to fit a lot of computing power into a very small footprint, making it an excellent choice for the IQTC’s ninth computing cluster.
Sufficient Memory and Storage Capacities to Handle Versatile Workloads
Fast, Secure, Easy Remote Management
The R182-Z90 is a versatile Rack Server that benefits from the greater bandwidth, higher memory speed, and M.2 drive capacity of its AMD EPYC™ processors. Pair that with its small footprint and 4 SATA hot-swappable HDD/SSD bays, and you have a server ideal for business-critical workloads.
Spain’s IFISC Tackles COVID-19, Climate Change with GIGABYTE Servers
By using GIGABYTE, Spain’s Institute for Cross-Disciplinary Physics and Complex Systems is pitting the world’s foremost server solutions against some of the world’s most pressing issues, including the effects of climate change, the effects of pollution, and the COVID-19 pandemic. GIGABYTE servers are up to the diverse and daunting tasks, because they are designed for high performance computing, intensive numerical simulations, AI development, and big data management.
CPU vs. GPU: Which Processor is Right for You?
Besides the central processing unit (CPU), the graphics processing unit (GPU) is also an important part of a high-performing server. Do you know how a GPU works and how it is different from a CPU? Do you know the best way to make them work together to deliver unrivalled processing power? GIGABYTE Technology, an industry leader in server solutions that support the most advanced processors, is pleased to present our latest Tech Guide. We will explain the differences between CPUs and GPUs; we will also introduce GIGABYTE products that will help you inject GPU computing into your server rooms and data centers.
CSR and ESG in Action: GIGABYTE Helps NCKU Train Award-Winning Supercomputing Team
GIGABYTE Technology is not only a leading brand in high-performance server solutions—it is also an active force for good when it comes to CSR and ESG activities. Case in point: in 2020, GIGABYTE provided four G482-Z50 servers to Taiwan’s Cheng Kung University. The servers were used to train a team of talented students, who went on to take first place in that year’s APAC HPC-AI Competition in Singapore. The parallel computing performance of the servers’ processors, the seamless connectivity between the servers, and the servers’ unrivalled reliability are the reasons why GIGABYTE servers are ideal for educating the next generation of supercomputing experts. GIGABYTE is happy to give back to society and contribute to human advancement through high tech solutions.
GIGABYTE’s ARM Server Boosts Development of Smart Traffic Solution by 200%
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.
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