The burgeoning demand for Large Language Models (LLMs) is outpacing the capabilities of current processors, necessitating a solution that can handle both the speed and complexity required. Enter the LPU™ Inference Engine—a revolutionary processing system pioneered by Groq specifically tailored to manage computationally intensive applications like LLMs. Designed to overcome the obstacles of compute power and memory bandwidth, LPU Inference Engines offer unparalleled benefits: ultra-low latency, energy efficiency, and consistent performance at scale. With computing power surpassing that of Graphics Processors (GPUs) and significantly reduced processing time per word, LPU systems expedite the generation of text sequences.
In this presentation, we'll introduce Groq, delve into the advantages of the LPU, and showcase how it facilitates natural conversations with AI—a testament to its transformative potential.
Logistics
This event will be in person. We will try to add an online streaming and recording option if the space, WIFI, and hardware will accommodate, starting at 7pm. Streaming and recording will be on the Data Community DC YouTube channel: youtube.com/@DataCommunityDC
Agenda
6:30pm - Food and networking
7:00pm - Talk time
After the talk, some folks will likely head to Courthaus Social
Speaker
Alec McLean is an experienced machine learning engineer with expertise in Natural Language Processing and Computer Vision. He's currently spearheading efforts to help government clients harness Groq's custom computer chip for accelerated Generative AI tasks. Previously, he played crucial roles at Booz Allen Hamilton and Amazon Web Services, leading the delivery of advanced machine learning solutions for federal agencies.