On the challenges of optical disaggregated data center networking for ML/AI applications

Salvatore Spadaro; Albert Pagès; Fernando Agraz

doi:10.1117/12.3008271

8 March 2024 On the challenges of optical disaggregated data center networking for ML/AI applications

Salvatore Spadaro, Albert Pagès, Fernando Agraz

Proceedings Volume 12894, Next-Generation Optical Communication: Components, Sub-Systems, and Systems XIII; 128940M (2024) https://doi.org/10.1117/12.3008271
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

The rising of applications with intense requirements in data volumes, storage space and CPU/GPU utilization, such as Machine Learning/Artificial Intelligence (ML/AI) applications, imposes different challenges on the Data Center Network design and operation. When compared to traditional data centers infrastructures, the recent explored disaggregated optical data center concept may bring multiple benefits in terms of optimized usage of the IT and network resources. Nevertheless, at the same time, it also brings some technical challenges. In such context, the paper discusses both data and control architectural solutions for optical disaggregated data centers for ML/AI applications, focusing on their benefits but also on the associated complexities.

Conference Presentation

Citation Download Citation

Salvatore Spadaro, Albert Pagès, and Fernando Agraz "On the challenges of optical disaggregated data center networking for ML/AI applications", Proc. SPIE 12894, Next-Generation Optical Communication: Components, Sub-Systems, and Systems XIII, 128940M (8 March 2024); https://doi.org/10.1117/12.3008271

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