Call for Speakers

in 17 days

Architects of DeepLearning Day - KSUG.AI India Meetup

planned future dates

9 Jan 2026

location

Microsoft Building, Prestige Ferns Galaxy, 6, 18, Bellandur Gate Rd, Bellandur, Bengaluru, Karnataka Bengaluru, India

website

in.ksug.ai


Architects of DeepLearning Day event focusing on building and running large-scale deep learning systems in production.

The event covers DeepLearning, Neural Network,Inference architecture, SensoriumBayes, Agent-based system scaling, and the gap between research and real deployments. Topics include vLLM internals, efficient model serving, loss functions, and system-level tradeoffs around latency, throughput, and cost.

Designed for researchers, ML engineers, DevOps, infra engineers, and developers, the meetup emphasizes how models behave at scale — from algorithms and training choices to runtime performance and infrastructure design.

The sessions are practical, technical, and grounded in production experience.

Event Details:
Date: Friday, January 09th, 2026
Time: 9:00 AM – 5:00 PM (GMT+5:30)
Venue: Microsoft Building, Prestige Ferns Galaxy, 6, 18, Bellandur Gate Rd, Bellandur, Bengaluru, Karnataka 560103

Sponsors:
Microsoft, WSO2

Have a deep learning story to share or an inference insight? Submit your talk proposal -
https://sessionize.com/ksug-in

Explore our community KSUG.AI or linktr.ee/ksug.ai

open, 15 days left
Call for Speakers
Call opens at 12:00 PM

18 Dec 2025

Call closes at 11:59 PM

06 Jan 2026

Call closes in India Standard Time (UTC+05:30) timezone.
Closing time in your timezone () is .

The event covers DeepLearning, Neural Network, Inference architecture, SensoriumBayes, Agent-based system scaling, and the gap between research and real deployments. Topics include vLLM internals, efficient model serving, loss functions, and system-level tradeoffs around latency, throughput, and cost.

Have a deep learning story to share or an inference insight? Please submit your talk proposal.

Lightning talk duration: 15 min
Session talk duration: 30 min

More info, please visit our KSUG.AI page. https://ksug.ai


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