SymbioticLab

University of Michigan

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SymbioticLab focuses on large-scale data systems that can yield order-of-magnitude performance and efficiency improvements. We tailor existing Big Data and AI/ML applications and design new ones to best leverage their underlying infrastructure. This boils down to three operating regimes: single-microsecond latency within a rack, single-millisecond latency within a datacenter, and hundreds-of-milliseconds latency across the world.

Overview

Join SymbioticLab to work on impactful first-of-its-kind projects!

Learn about openings in ongoing projects if you’re already in Michigan.

News

2025-08-14
Zeus Receives the 2025 GitHub Secure Open Source Fund. Congrats Jae-Won!
2025-08-01
Jae-Won and Ruofan Will Give a Tutorial on ML Energy at NeurIPS'25. Congrats!
2025-07-23
Thanks NSF for Supporting Our Datacenter Efficiency Research
2025-07-06
Wenxuan Tan Received the David Dewitt Undergraduate Scholarship. Congrats Wenxuan!
2025-06-16
Jiachen is the Lucky Number Seven. Congrats, Dr. Liu!
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