SymbioticLab

University of Michigan

  • Research
  • Publications
  • People
  • Funding
  • Open Source

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

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

News

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!
2025-06-09
Thanks Cisco for Supporting Our Systems + AI Research
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