AI Cost Management: How It Works and 12 Tips to Cut Your Costs
Your guide to tracking, controlling, and optimizing the cost of artificial intelligence
Nikhil Gopinath
SVP of Engineering Data & ML
Bio
Nikhil Gopinath Kurup is Sr. Vice President of Machine Learning at Sedai. As a pioneer of autonomous cloud optimization, Nikhil played a critical role in building Sedai’s proprietary machine learning technology, which enables customers to dramatically reduce their cloud costs and prevent availability issues. He is a leading expert on both the frontier of AI/ML as well as modern cloud services, across AWS, Microsoft Azure, and Google Cloud. Nikhil partners with companies like Palo Alto Networks, HP, and GSK to optimize their infrastructure.
Before Sedai, Nikhil gained broad engineering and data science experience at H20.ai, Kore.ai, and Teradata. He earned a Master’s Degree in Information and Data Science from UC Berkeley.
Latest from Nikhil
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Introducing Sedai Support for AWS Lambda Managed Instances
AWS Lambda Managed Instances are here, and Sedai is making the migration process easy and safe.
Serverless Development Environments: Velocity Global's Path to Scalability
Discover how Velocity Global's serverless-first architecture optimizes scalability, simplifies infrastructure management, and boosts developer productivity by focusing on business logic instead of managing underlying infrastructure.
Optimizing Development Environments: Comparing Kubernetes vs. Serverless Approaches at BILL & Velocity Global
Compare Kubernetes and serverless approaches used by BILL and Velocity Global to optimize scalable, efficient development environments in cloud computing.
Kubernetes Development Environments: How BILL Streamlines it with Team Spaces
Explore how BILL streamlines Kubernetes development environments with Team Spaces, enhancing developer productivity, code quality, and system reliability in large-scale operations.
Autonomous FinOps: The Future of Cloud Cost Management
In a recent survey conducted by McKinsey with IT directors and IT organizations, one of the key takeaways was that FinOps is one of the most important and emerging practices that they have been adopting throughout their IT and technology organizations in the last couple of years.
A New Way to Virtually Eliminate Cold Starts for AWS Lambda: Autonomous concurrency
Discover optimizing AWS Lambda cold starts, and know their benefits, and risks, as well as master Sedai's new autonomous concurrency implementation. Know more!
Improving Lambda Performance & Availability at Scale with the New AWS Telemetry API
Discover how Sedai drives revolutionary enhancement with the new Telemetry API for AWS Lambda elevating performance and availability at scale. Learn more!
The End of Cold Starts: Autonomous Concurrency for AWS Lambda
A comprehensive overview of how Sedai addresses the challenge of cold starts through the implementation of autonomous concurrency. We explore the history of cold starts, their underlying causes, and their relationship with concurrency before showing how an AI based approach can resolve cold starts.