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A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	DeBole, Michael V., Appuswamy, Rathinakumar, McGlohon, Neil, Taba, Brian, Esser, Steven K., Akopyan, Filipp, Arthur, John V., Amir, Arnon, Andreopoulos, Alexander, Carlson, Peter J., Cassidy, Andrew S., Datta, Pallab, Flickner, Myron D., Gandhasri, Rajamohan, Garreau, Guillaume J., Ito, Megumi, Klamo, Jennifer L., Kusnitz, Jeffrey A., McClatchey, Nathaniel J., McKinstry, Jeffrey L., Nayak, Tapan K., Otero, Carlos Ortega, Penner, Hartmut, Risk, William P., Sawada, Jun, Sivagnaname, Jay, Smith, Daniel F., Sousa, Rafael, Terrizzano, Ignacio, Ueda, Takanori, Gray-Donald, Trent, Cox, David, Modha, Dharmendra S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Hardware Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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