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Vinay Sriram

Hear from Vinay at The Ai Conference 2023!
senior software engineer
Clockwork Systems

Presentation Title:

Speeding up AI/ML Workloads
by Eliminating Packet Delays/Loss
from "Best Effort" TCP+Ethernet Networks

Presentation Summary:

Atom icon for The AI Conference 2023, a groundbreaking two-day event on AGI, LLMs, Infrastructure, Alignment, AI Startups, and Neural Architectures.Discover how Clockwork’s edge-based congestion control technology can turbocharge your communication throughput by 25-30%, significantly shortening the time needed for LLM training and inference on TCP/IP+Ethernet networks.

Brain icon for The AI Conference 2023, a groundbreaking two-day event on AGI, LLMs, Infrastructure, Alignment, AI Startups, and Neural Architectures.Based on foundational clock sync technology developed at Stanford University, Clockwork’s software can transform unpredictable data networks into deterministic, time-sensitive systems. In this talk, we’ll provide an in-depth look at Packet Rocket—-an easy-to-deploy software solution that can enable TCP/IP+Ethernet networks to deliver 100% utilization at near-zero packet loss. We will also present results from NCCL tests and discuss how the technology performs on training and inference runs in different cloud environments.

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ABOUT | Vinay Sriram

Vinay Sriram is a senior software engineer at Clockwork Systems. His recent work studies the benefit of Clockwork's foundational congestion control technology on machine learning workloads in the public cloud. Vinay also works on Clockwork’s real-time network monitoring and clock synchronization solutions. He holds a B.S. and M.S. in computer science from Stanford University. Before joining Clockwork, he was a research assistant in the Stanford Platform Lab, and has worked on ML teams at Google and Amazon.