​Optimizing AI Infrastructure 

​GPU costs eating into your AI budget? You're not alone.

​The average AI company spends 40-60% of its budget on compute, with GPU costs spiraling out of control. Join this exclusive panel where industry experts reveal proven strategies to dramatically reduce your GPU spend without compromising performance.

​What You will Learn

​✅ GPU Cost Arbitrage: Access discounted GPU capacity without long-term commitments
✅ Smart Scheduling: Optimize GPU utilization for training and inference workloads
✅ Alternative Strategies: Beyond traditional Reserved Instances and Spot pricing
✅ Real Savings: Case studies of companies cutting GPU costs by 30-50%
✅ Insider Tactics: Hidden cloud features and pricing strategies most companies miss

​Featured Panelists

​Ashmeet Sidana is the GP/Founder Engineering Capital. Investing before traditional venture firms, Engineering Capital specializes in leading seed rounds in software companies with a technical insight. His successful investments include Azure (IPO AZRE), Rubrik (IPO RBRK), SignalFx, acquired by Splunk for $1 billion, Tubi.tv, acquired by FOX, AirGap, acquired by ZScaler, Robust Intelligence acquired by Cisco etc. He serves on the Board of Directors of Evinced, Nexla, Tapistro and WideField.

​Khursheed Hassan is Founder and CEO of Cloudidr. He is former Head of Product Management Groups at AWS and EC2 with deep expertise in optimizing cloud infrastructure. He founded Cloudidr to deliver up to 40% cost savings on GPU for AI workloads without any contracts.

​Samira Golsefid (PhD) has launched and scaled Al products driving over $200M+ in ARR. At 6sense as VP of Data Science, she led Al, GenAl, and agentic initiatives that tripled productivity and boosted revenue. At PayPal, she developed large-scale fraud detection systems supporting billions in transactions.

​John Yue is founder of inference.ai. Inference.ai provides fractional GPU to reduce cost of inferencing in the cloud

​Who Should Attend

• ​AI/ML Engineers managing training pipelines

• ​FinOps professionals optimizing AI spend

• ​CTOs & Engineering Leaders at AI companies

• ​DevOps Engineers handling GPU infrastructure

• ​Startup founders building AI products on a budget

• ​Anyone spending $10K+ monthly on GPU compute

​Why Attend

​Every month you wait is money lost. Learn the advanced strategies that smart AI companies use to access enterprise-grade GPU resources at a fraction of the cost.

​Walk away with an actionable plan to start saving immediately.

​Limited seats - Register now before GPU costs kill your runway!

​AGENDA:

• ​​5:30 pm - 6:00 pm: Registration and Networking

• ​6:00 pm - 6:10 pm:  Sponsors/Hosts introductions

• ​6:10 pm - 7:00 pm : Panel discussion 

  • ​Colton - Moderator

  • ​Khursheed - Founder/CEO Cloudidr

  • ​Ashmeet Sidana - GP/Founder VC firm Engineering Capital

  • ​John Yue - CEO of Inference.ai

  • ​Samira Golsfed - VP Data Science 6sense

• ​​7:00 pm - 8:30 pm: Food, Drinks & Networking

​Hosts:
Founder Social Club｜Community for founders to eliminate loneliness and connect people with mentors, investors, and peer groups. Join here!

​Cloudidr | Cloudidr reduces AWS and hyperscalers compute costs by up to 40% without any long-term commitments, offering flexible usage from 1 hour to months for CPU and GPU for AI workloads.

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