Wafer-Scale Integration for AI – The Holy Grail?
This paper presents motivation, challenges, and solutions to productize a wafer-scale integration (WSI) die for artificial intelligence (AI) applications. In a similar way GPUs are better suited than CPUs for AI applications, the Cerebras (CBS) WSI is even better suited to solve large problems. The solutions presented include large on-chip memory, tightly coupled vertical power delivery, a mesochronous clocking scheme, and a thorough in-system test and burn-in methodology.
Authors
- A. Scherer (ORCID: https://orcid.org/0000-0002-9793-2431)
- B. Kleveland
- Mike Morrison (ORCID: https://orcid.org/0000-0002-1324-8801)
- Phil Ferolito
Institutions
- DigiLens (United States) (US)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074878
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00