Kaustubha
V
Solution Architect at Microsoft
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
Wed May 21 - 8:10 AM EDT/New York (See in local time)
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05/21/2025 8:10 AM
05/21/2025 08:50 AM
America/New_York
#WTGC2025
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
#WTGC2025
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
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https://www.womentech.net/ringcentral
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
"The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank"
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Session: The Invisible Engine: Optimizing AI for the Cloud Without Breaking the Bank
AI workloads in the cloud can be costly, inefficient, and energy-intensive if not optimized properly. This session explores strategies for optimizing AI models for cloud environments, ensuring efficiency without sacrificing performance. Key topics include:Cloud-aware algorithm optimization for reduced compute costs.
Auto-scaling AI workloads to dynamically adapt to demand.
Trade-offs between accuracy, speed, and resource utilization.
Real-world insights from NeurIPS research on benchmarking AI creativity in cloud-based environments.
Attendees will leave with practical, immediately applicable techniques to make their AI models faster, more affordable, and sustainable in the cloud.
Key Takeaways
- Cost-effective AI deployment – Strategies to reduce cloud computing expenses without performance trade-offs.
- Auto-scaling for efficiency – How to dynamically allocate resources based on demand.
- Model optimization techniques – Fine-tuning deep learning models for cloud-based execution.
- AI sustainability – Reducing the carbon footprint of AI workloads in cloud environments.
- Benchmarking and performance trade-offs – How to measure efficiency and performance balance in AI workloads.
Bio
Kaustubha is a Solution Architect at Microsoft, a multi-cloud expert (Azure, AWS, GCP), and an AI researcher. She has 46+ cloud certifications and has presented research at NeurIPS, CODS-COMAD, and international AI conferences. Passionate about AI efficiency, cloud optimization, and responsible AI, she works on benchmarking AI performance in cloud environments and enabling cost-effective, scalable AI solutions