BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Silicon Valley Engineering Council - ECPv6.16.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Silicon Valley Engineering Council
X-ORIGINAL-URL:https://svec.org
X-WR-CALDESC:Events for Silicon Valley Engineering Council
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251002T183000
DTEND;TZID=America/Los_Angeles:20251002T200000
DTSTAMP:20260513T150233
CREATED:20250830T103329Z
LAST-MODIFIED:20250830T103329Z
UID:77014-1759429800-1759435200@svec.org
SUMMARY:Custom Silicon Beyond GPUs—Scaling Intelligence into the AGI Age
DESCRIPTION:The race toward Artificial General Intelligence (AGI) is accelerating\, powered by ever-larger and more capable LLMs. But as these models scale\, we are hitting the physical limits of general-purpose GPUs. Memory access is now slower and more energy-hungry than computation itself. Power demands are straining datacenter infrastructure. And as models span more chips\, interconnect delays—not compute—become the bottleneck.\nThis talk explores how custom silicon—such as AWS Trainium\, Google TPU\, Cerebras WSE\, and Groq LPU—is designed to overcome these barriers.\nBy keeping memory closer to compute\, optimizing data movement\, and delivering higher efficiency per watt\, domain-specific accelerators are reshaping the hardware stack around the needs of LLMs.\nAttendees will gain a clear framework for understanding why this shift matters\, how it breaks past the Memory\, Power\, and Interconnect walls\, and what it means for building a more scalable\, cost-effective\, and energy-efficient foundation on the road to AGI.\nSpeaker(s): Asheesh Goja\,\nSanta Clara University\, Santa Clara\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/498701
URL:https://svec.org/event/custom-silicon-beyond-gpus-scaling-intelligence-into-the-agi-age/
LOCATION:Santa Clara University\, Santa Clara\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/498701
END:VEVENT
END:VCALENDAR