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CAREER: From Redundancy to Efficiency -- Scalable, Observable Multicast for AI Datacenters

Organization Johns Hopkins UniversityLocation BALTIMORE, United StatesPosted 1 Jul 2026Deadline 30 Jun 2031
NSFUS FederalResearch GrantScience FoundationMD
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Artificial intelligence systems rely on large groups of computers working together, but communication between these machines is becoming a major bottleneck. Today, many systems send the same data repeatedly between machines, which wastes time, energy, and network capacity. This project develops new ways for computers to share information more…

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CAREER: From Redundancy to Efficiency -- Scalable, Observable Multicast for AI Datacenters — Johns Hopkins University | | Dev Procure