Lowell Observatory Looks for Habitable Exoplanets with GIGABYTE Servers
Arizona’s Lowell Observatory is studying the Sun with GIGABYTE’s G482-Z50 GPU Server in an effort to filter out “stellar noise” when looking for habitable planets outside of our Solar System. The server’s AMD EPYC™ processors, parallel computing capabilities, excellent scalability, and industry-leading stability are all features that qualify it for this astronomical task, making the discovery of a true “Twin Earth” achievable within our lifetime.
“Downloading” Data from the Sun to GIGABYTE’s GPU Server
The 70-millimeter Lowell Observatory Solar Telescope is installed on the roof of an auxiliary building near its larger sibling, the 4.3-meter Lowell Discovery Telescope. An 80M optic fiber cable transmits the sunlight from the Solar Telescope to the EXPRES, which ultimately converts the light into useful Doppler data with the aid of the G482-Z50. (Images provided by Lowell Observatory)
Space Science Gets Ten Times Faster with GIGABYTE G482-Z50
A spectrum of the Sun from the Lowell Observatory Solar Telescope, color-coded to approximate the color of light seen by human eyes. The vertical dark bands are absorption features of molecules in the atmosphere of the Sun. Dr. Llama uses the position of these bands to measure the solar radial velocity. (Images provided by Lowell Observatory)
One: Top-notch processing power suitable for parallel computing
The G482-Z50 is a 4U 10-Node G-Series GPU Server that packs a wallop of computing power and excels at parallel computing. With its excellent scalability and stability, it is the ideal solution to help Lowell Observatory find the common signature of stars.
Two: Industry-leading scalability
Three: Designed to ensure system stability
It’s (almost) always sunny in Flagstaff, Arizona. Around three hundred days a year, weather conditions allow the Lowell Observatory Solar Telescope to “download” up to 50GB of raw data from the Sun. About 10TB of accumulated data is being worked on at any given moment. (Images provided by Lowell Observatory)
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.
Tech GuideWhat is a Server? A Tech Guide by GIGABYTE
In the modern age, we enjoy an incredible amount of computing power—not because of any device that we own, but because of the servers we are connected to. They handle all our myriad requests, whether it is to send an email, play a game, or find a restaurant. They are the inventions that make our intrinsically connected age of digital information possible. But what, exactly, is a server? GIGABYTE Technology, an industry leader in high-performance servers, presents our latest Tech Guide. We delve into what a server is, how it works, and what exciting new breakthroughs GIGABYTE has made in the field of server solutions.
You may be familiar with the term, “big data”, but how firm is your grasp of the concept? Have you heard of the “5 V’s” of big data? Can you recite the “Three Fundamental Steps” of how to use big data? Most importantly, do you know how to reap the benefits through the use of the right tools? GIGABYTE Technology, an industry leader in high-performance server solutions, is pleased to present our latest Tech Guide. We will walk you through the basics of big data, explain why it boasts unlimited potential, and finally delve into the GIGABYTE products that will help you ride high on the most exciting wave to sweep over the IT sector.
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.