Control Logic: The Backbone of AI Data Center Infrastructure

LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
https://acm-org.zoom.us/
Join via YouTube:
https://youtube.com/live/
AGENDA

6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&A

Join SF Bay ACM Chapter for an insightful discussion on:

Abstract

The advent of AI supercomputing has shaken the industry with breakthroughs in language models, software and hardware infrastructure. With rapidly evolving requirements, system software is evolving to interface, manage, host and deliver compute to the end-user. This talk will provide a primer on emerging technologies and real-world examples of open-source software involved in managing compute nodes in an AI data center setting.

• Embedded controllers and their role in the next-gen hardware management plane.
• Scope for dealing with massive telemetry and data generated by AI server ramp up.
• Open source communities driving new-age data center enablement.
• How GPU-centric computing is driving architectural shifts in system software design.
• Asynchronous programming strategies to handle real-time workloads on specialized processors.
• Technical challenges and future scope for communities participating in data center build-outs.

Bio:
Aushim is a Senior Software Engineer at NVIDIA and alumnus of Carnegie Mellon University. He has spent the past 3 years designing data center software; solving critical challenges in scale and latency in hardware management. He is interested in breaking barriers in fault-tolerant computing and optimization of compute node infrastructure for AI workloads.
https://www.linkedin.com/in/aushim-nagarkatti/

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