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Talk6 min

Exploration of state-of-the-art AI-acceleration platforms for HEP use cases

Grace Margaret Rossiter · CERN

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About

**Project Description**:

Exotic AI-accelerator hardware, such as the CEREBRAS Wafer Scale Engine, and the Tenstorrent Blackhole processing board offer compelling alternatives to the standard CPU+GPU offerings for AI training and inference. Within CERN openlab we would like to investigate these solutions and understand which. The student will work to port our existing AI models to one or several of these exotic platforms (depending on hardware availability), documenting the trials and tribulations of the process, and eventually resulting in fair benchmark comparisons between the different hardware approaches. This experience will then help to inform the wider community at CERN of the potential pros and cons of developing for these alternative AI platforms.

**Supervisor**: Thomas Owen James Elias Leutgeb

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The talk

  1. Exploration of state-of-the-art AI-acceleration platforms for HEP use cases 2026-08-17 · 6 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Grace Margaret Rossiter
Year
2026
Language
English
Subjects
Art, architecture and design
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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