BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000622Z
LOCATION:503-504
DTSTART;TZID=America/Denver:20231116T103000
DTEND;TZID=America/Denver:20231116T120000
UID:submissions.supercomputing.org_SC23_sess254@linklings.com
SUMMARY:Exhibitor Forum: Super Intelligence II
DESCRIPTION:Exploring Converged HPC and AI on the Groq AI Inference Accele
 rator\n\nConverged compute infrastructure refers to a trend where HPC clus
 ters are set up for both AI and traditional HPC workloads, allowing these 
 workloads to run on the same infrastructure, potentially reducing under-ut
 ilization. Here, we explore opportunities for converged compute with GroqC
 hip™, a...\n\n\nTobias Becker (Groq Inc)\n---------------------\nStrong Sc
 aling of State-of-the-Art LLM Inference with Groq Software-Scheduled Deter
 ministic Networks\n\nIn this talk, we will demonstrate Groq’s approach to 
 synchronous, software-scheduled AI accelerator networks and showcase how w
 e use it to unlock state-of-the-art performance and latency on Large Langu
 age Models (LLMs), including Llama-2 70B, scaled to over 500 GroqChip™ Lan
 guage Process...\n\n\nIgor Arsovski (Groq Inc)\n---------------------\nFro
 m Stencils to Tensors: Running 3D Finite Difference Seismic Imaging on the
  Groq AI Inference Accelerator\n\nGroqChip™ is an AI accelerator optimized
  for running large-scale inference workloads with high throughput and ultr
 a-low latency. It features a Tensor Streaming architecture optimized for m
 atrix-oriented operations commonly found in AI, but the chip can also effi
 ciently compute other applicatio...\n\n\nTobias Becker (Groq Inc)\n\nTag: 
 Accelerators, Artificial Intelligence/Machine Learning, Architecture and N
 etworks, Hardware Technologies\n\nRegistration Category: Tech Program Reg 
 Pass, Exhibits Reg Pass\n\nSession Chair: Jay Lofstead (Sandia National La
 boratories, University of New Mexico)
END:VEVENT
END:VCALENDAR