The Enterprise AI Show

The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]

As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

New shows every Wednesday and Sunday.

Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

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The Enterprise AI Show

Understanding NeoClouds with Crusoe

March 08, 2026 • Massive Studios

0:00 | 27:40

Erwan Menard - SVP Product Management @CrusoeAI talks about the evolution of NeoClouds, the challenges of matching the speed of data centers, GPUs and software, and how everything is evolving to megawatts and tokens.

SHOW: 1008

SHOW TRANSCRIPT: The Reasoning Show #1008 Transcript

SHOW VIDEO: https://youtu.be/eA8vpPmSW0Y

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SHOW NOTES:

Topic 1 - Welcome to the show. Tell us a bit about your background, and what you focus on now at Crusoe.

Topic 2 - There has obviously been a lot of coverage of AI data center buildouts all over the world for the last few years. Tell us about Crusoe, and your approach to providing “neocloud” services.

Topic 3 - What are the biggest challenges facing Crusoe today and in the immediate future - is it technology, energy, financing for expansions, etc.?

Topic 4 - Crusoe started as a bitcoin-focused company and has evolved to more of a GenAI-focus. What types of architectural changes did you have to make for this new type of workload? And how do those impact the quality of the services your customers expect from Crusoe?

Topic 5 - Is your focus more on environments to enable model training and customization, or more focus on inference for customer-facing applications?

Topic 6 - A lot has changed in AI in the last couple years. What has changed the most in the last couple years, and what are you expecting to change the most over the next couple years?

Topic 7 - Sovereign AI and Private AI have become much bigger topics over the last 12-18 months, and we’d expect that to grow. What unique things is Crusoe doing to adapt to these changing requirements from customers?

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