ABOUT THIS EPISODE
AI cloud infrastructure is not just a capacity decision - it is a customer partnership. In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Tara Madhyastha, Senior Field Engineer and Solutions Architect at CoreWeave, to unpack what AI teams are really asking for as they move from ambition to architecture.
Tara describes customers building across training, inference, healthcare, physical AI, robotics, and other demanding workloads - each with different goals, constraints, and urgency. The common thread: teams need performance, reliability, cost control, and speed, but they also need a trusted technical advisor who can help them put the full system together.
This conversation is for infrastructure leaders, technical buyers, platform teams, and AI builders who need more than raw compute - they need a partner who can help them design, iterate, troubleshoot, and scale the right architecture.
What you'll take away:
Why AI customers often know the outcome they want before they know the architecture they need
How CoreWeave field engineering turns cloud engagement into joint solutioning
Why performance is not enough without trusted technical guidance
How AI-native cloud brings compute, data, storage, networking, lifecycle, and operations together
Why hands-on support, POCs, Slack channels, and real-time collaboration help customers move faster
Learn why the next phase of AI cloud is not only about more capacity - it is about helping teams build the right architecture, faster.
