AI Tokenomics and TCO: When On-Prem AI Infrastructure Outperforms the Cloud

Wednesday June 24th

12:00 PM EDT 9:00 AM PST

Webinar

As generative AI moves from experimentation into enterprise-scale production, organizations are facing a new challenge: controlling the rapidly growing cost of AI inference and token consumption. What once worked for pilot projects in the cloud may no longer be financially sustainable for always-on AI applications, RAG systems, and agentic workflows.

In this webinar, Lenovo and NVIDIA experts will explore how AI economics are evolving from infrastructure-centric thinking to token-based operational economics. Using real-world TCO analysis and deployment scenarios, we will examine when cloud remains the right choice, where on-prem infrastructure delivers significant advantages, and how enterprises can optimize AI deployment strategies for long-term scale, performance, governance, and cost efficiency.

Attendees will gain practical frameworks to evaluate AI infrastructure investments, understand utilization tipping points, and align deployment decisions with business outcomes.

What you'll learn and why you should attend:

Understand how AI token economics and sustained inference workloads are reshaping the cloud vs on-prem infrastructure decision for enterprise AI.
Learn how to evaluate breakeven points, utilization thresholds, and long-term TCO across real-world AI deployment scenarios.
Discover how hybrid AI infrastructure strategies can help organizations balance scalability, governance, performance, and cost efficiency for production AI workloads.

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Wednesday, June 24^th 12:00 PM EDT 9:00 AM PST

15 Days 13 Hrs 15 Mins 00 Sec

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Also Register Me for the Jun. 11th 'Beyond the Perimeter: Mastering Zero-Trust Networking with Microsegmentation' Webinar! Also Register Me for the Jun. 12th 'Integrating AI into the Enterprise' Expert Series!

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