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Scaling Economically Viable AI at Enterprise Scale From Pilots to Production

How leading AI clouds and service providers take enterprise AI from experimentation to production with predictable performance and sustainable economics

As AI adoption accelerates, enterprise success is no longer defined by GPU volume, but by the ability to operationalize AI reliably at scale—aligned with real production demand, existing IT environments, cost controls, and long-term platform durability.

This 60-minute virtual panel examined how enterprises move AI from experimentation to mission-critical production by aligning full-stack infrastructure with real demand to support mixed AI workloads efficiently, securely, and at scale. 

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The Panelists

Suresh Vasudevan_round

Moderator

Suresh Vasudevan, CEO, Clockwork.io

A seasoned category creator and CEO, guiding enterprises on scaling high-performance systems efficiently with consistently reliable SLAs

 
 
 

Panelists

Vinita Ananth, Nebius, Senior Director of Product

Vinita Ananth, Nebius, Senior Director of Product and formerly, Director of AI, AWS

A long-time product leader bringing full-stack insight connecting GPU architecture, cloud economics, and real-world performance across mixed workloads
Chris Morgan, former VAST Data

Chris Morgan, CEO of 7sg, and formerly, VP of AI Solutions, VAST Data

A full-stack AI operator in the trenches scaling enterprise AI by bridging existing IT investments with production AI across industries

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