11/05/2025 | Press release | Distributed by Public on 11/05/2025 11:23
As artificial intelligence powers more scientific research, science teams are managing considerations of the environmental impact of this expanding computing power. A new in-kind gift from Dell Technologies is enabling a team of coral reef researchers at Scripps Institution of Oceanography at the University of California San Diego to increase the environmental sustainability of their AI-powered research.
The Sandin Labat Scripps Institution of Oceanography researches coral reef ecology, visiting coral reefs around the world to take high-resolution images of reefs to document how marine ecosystems are faring. Millions of underwater images are then converted into 3D models to assess the health of coral reefs. While reefs are being degraded from overfishing, pollution and climate change, the lab is finding that a growing number of marine ecosystems are showing trends of stability or resilience. This promising finding is associated with effective engagement of local communities working to manage the natural resources in their coastal ecosystems.
"Image-based mapping is improving the monitoring, research and stewardship of coral reefs worldwide," said Stuart Sandin, director of the Center for Marine Biodiversity and Conservation at Scripps. "But with around 350 gigabytes of images collected per dive and the team completing anywhere between 300 to 400 dives a year, processing these images requires significant computing and storage. This is a big challenge and a big opportunity for innovation."
Now, a significant in-kind donation of equipment and technical support from Dell Technologies has helped the Sandin Lab upgrade its legacy data center and computing cluster with the aim of bringing environmental sustainability to the research effort.
For Dell, the effort represents a pilot program called Concept Astrothat uses AI to identify the best times and locations to run computing workloads based on cost, speed and emissions or a combination of all. This enables the team to schedule workloads during optimum energy windows, reducing strain on the grid without disrupting research continuity.
The Eliza and Stuart Stedman Visualization Lab utilizes Dell Technologies equipment. Image credit: Erik Jepsen/UC San Diego.