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CATEGORIES:Artificial Intelligence Research Group Talks (Comp
 uter Laboratory)
SUMMARY:Accelerating Generative AI on Custom Hardware Acce
 lerators - Challenges and Opportunities - Partha M
 aji (Tenstorrent)
DTSTART;TZID=Europe/London:20240123T130000
DTEND;TZID=Europe/London:20240123T140000
UID:TALK206038AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/206038
DESCRIPTION:This presentation will center around the implement
 ation challenges associated with generative AI on 
 emerging spatial computing hardware. A comprehensi
 ve examination of the Tensix core architecture\, i
 ntegrated within the flagship Wormhole chips provi
 ded by Tenstorrent Inc.\, will be undertaken. Subs
 equently\, we will assess state-of-the-art Large L
 anguage Models (LLMs) and investigate diverse appr
 oaches to effectively map these models onto the un
 derlying hardware fabric. The presentation will be
  concluded by emphasizing various challenges and d
 elineating prospects for further research in the d
 omains of model design and optimization.\n\n*Bio:*
  Partha Maji currently serves as Technical Directo
 r of ML Hardware Acceleration at Tenstorrent\, a U
 S based AI Hardware startup. Preceding this positi
 on\, he held the position of Head of ML Research a
 t Arm UK. With more than 18 years of industry expe
 rience\, Partha's expertise encompasses a diverse 
 spectrum of domains that intersect AI/ML algorithm
 s\, software/compilers\, and hardware architecture
 s. Partha earned his Doctorate in Computer Science
  from the University of Cambridge.\n\n"You can als
 o join us on Zoom":https://cam-ac-uk.zoom.us/j/920
 41617729
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William 
 Gates Building
CONTACT:Mateja Jamnik
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