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Light Bridges

Finding new answers among the stars

With a new high-performance computing (HPC) cluster from Lenovo and NVIDIA, Light Bridges helps astronomers crunch vast volumes of observational data faster, so they can delve deeper into the mysteries of our universe.

“The future of ground-based observational astronomy involves the construction and operation of large telescopes and arrays of smaller telescopes. This second path has unique advantages, such as monitoring large areas of the sky simultaneously and its immediate adaptation to changing observing needs. This approach requires the capability to process and analyze a huge amount of dynamic data. This is where the development of advanced computational systems, artificial intelligence, and GPUs plays a crucial role. Thanks to the extremely high-performance Lenovo solution, our telescope network operates every night at Teide Observatory.”

Dr. Miquel Serra-Ricart

Co-founder & CSO, Light Bridges

At-a-Glance

Customer: Light Bridges
Industry: Academic Research
Product Family: Servers
Region: Europe
Processor: NVIDIA
Topic: Big Data and Analytics,High Performance Computing

Finding new answers among the stars

Light Bridges promotes new ways of public-private partnership in scientific research and development, with a focus on professional astronomy. Based in Spain’s Canary Islands, a place with unmatched atmospheric quality, the company provides a faster and more flexible way for scientists to access the tools and funding they need to advance vital research.

In partnership with the Instituto de Astrofísica de Canarias (Astrophysics Institute of the Canaries), Light Bridges has established a private network of telescopes at the Teide Observatory on Tenerife. Its first installation is the Two-meter Twin Telescope (TTT), four professional robotic telescopes used to study near-earth objects like asteroids and comets, along with other cosmic phenomena including supernovae, active galaxy nuclei, exoplanets, and black holes.

For millennia, humanity has looked to the stars to learn more about our place in the universe. Modern telescopes and sensitive detectors have dramatically deepened that understanding. But they also create new technical challenges, namely the need to read, store, index, and analyze astronomically large quantities of data.