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UID:pretalx-coscup-2026-CKHDBZ@pretalx.coscup.org
DTSTART;TZID=CST:20260809T151000
DTEND;TZID=CST:20260809T154000
DESCRIPTION:As AI workloads continue to expand beyond the cloud\, developer
 s are increasingly looking for open\, efficient\, and flexible platforms t
 o run models at the edge and on personal devices. RISC-V\, as an open inst
 ruction set architecture\, is emerging as a promising foundation for this 
 shift.\nIn this session\, Martin will share practical engineering experien
 ces from building AI-capable RISC-V systems — covering key areas such as
  CPU–accelerator integration\, software stack enablement\, and optimizat
 ion for real-world workloads.\nThe talk will explore how Linux-based envir
 onments can support AI development on RISC-V today\, what challenges remai
 n across toolchains and runtimes\, and how upstream collaboration is helpi
 ng accelerate ecosystem maturity.\n\nMore info: https://events.canonical.c
 om/event/146/contributions/952/
DTSTAMP:20260713T142216Z
LOCATION:TR211
SUMMARY:Bringing AI to RISC-V: From Edge Devices to Developer-Ready Systems
  - Martin Chang\, Yuning Liang
URL:https://pretalx.coscup.org/coscup-2026/talk/CKHDBZ/
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