Clockwork to Present Two Talks on Speeding Up AI/ML Workloads by Eliminating Packet Delays/Loss at The AI Conference in San Francisco
Clockwork's Cloud Deluxe™ demos showing how it helps speed up AI/ML workloads will also be available at booth 4c in Sponsor Pavilion 1
SAN FRANCISCO, Sept. 25, 2023 /PRNewswire/ -- Clockwork, a developer of advanced cloud technology for time-sensitive enterprise applications, today announced it will be delivering two technical presentations at the upcoming AI Conference in San Francisco on September 26-27. Clockwork's team will demonstrate how its two-step solution using Clockwork's Cloud Deluxe™ network application helps speed up AI/ML workloads, and improves cloud infrastructure performance.
Clockwork Senior Software Engineer Vinay Sriram will deliver a 25-minute talk titled "Speeding up AI/ML Workloads by Eliminating Packet Delays/Loss from 'Best Effort' TCP+Ethernet Networks" at 3 p.m. PT on Sept 26. Sriram will also give a 10-minute lunchtime lightning talk titled "Eliminate TCP Packet Delays/Loss and Speed up AI/ML Workloads" at 12:45 p.m. PT on Sept 27.
Based on its foundational clock sync technology, Clockwork's software transforms unpredictable data networks into determinisic, time-sensitive systems. Clockwork's two-step solution leverages Latency Sensei to choose optimal VMs, then Packet Rocket to control congestion at the edge. In his talks, Sriram will 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. He will also present results from NCCL tests and discuss how the technology performs on LLM workloads in different cloud environments.
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.
To learn more about how Clockwork's Cloud Deluxe™ helps speed up AI/ML workloads and eliminates fundamental latency issues, stop by Booth 4c in Sponsor Pavilion 1 at the AI Conference on September 26-27, or visit clockwork.io.
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