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Hidden Infrastructure Demands of Enterprise AI

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Manage episode 484041604 series 3644905
Content provided by World Wide Technology. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by World Wide Technology or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

As AI pushes the limits of traditional IT infrastructure, enterprises are racing to modernize their data centers. In this episode, Mike Parham and Bruce Gray walk us through the behind-the-scenes decisions that matter — from power and cooling challenges to GPU readiness and sustainability. Whether you're modernizing or starting from scratch, this conversation is your blueprint for AI-ready infrastructure.

Support for this episode provided by: Vertiv

More about this week's guests:

Bruce Gray, a results-driven IT executive at World Wide Technology since 2007, brings 25+ years of experience in Building Automation, IT, and Telecom. As Practice Manager, he leads business development and execution for data center design and IT facilities infrastructure. With a background in architecture, programming, and electrical engineering, Bruce excels in strategy, project management, and vendor relations—always seeking challenges that drive impact.

Bruce's top pick: Data Center Priorities for 2025

Mike Parham is a Technical Solutions Architect at World Wide Technology, where he has been delivering innovative IT solutions since 2011. With a strong technical background and a focus on aligning technology with business goals, Mike helps clients design and implement scalable, efficient architectures. He is known for his collaborative approach, deep expertise, and commitment to driving successful outcomes.

Mike's top pick: AI and Data Priorities for 2025

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

  continue reading

Chapters

1. AI's Hidden Infrastructure Crisis (00:00:00)

2. Power Demands: From 20kW to 600kW (00:04:32)

3. Facilities Readiness Assessment (00:09:55)

4. Cooling Solutions for AI Workloads (00:15:02)

5. Space and Cabling Constraints (00:26:01)

6. Building vs. Retrofitting Data Centers (00:31:13)

7. Liquid Cooling Technologies (00:36:20)

8. Future Challenges and Regulations (00:40:05)

17 episodes

Artwork
iconShare
 
Manage episode 484041604 series 3644905
Content provided by World Wide Technology. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by World Wide Technology or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

As AI pushes the limits of traditional IT infrastructure, enterprises are racing to modernize their data centers. In this episode, Mike Parham and Bruce Gray walk us through the behind-the-scenes decisions that matter — from power and cooling challenges to GPU readiness and sustainability. Whether you're modernizing or starting from scratch, this conversation is your blueprint for AI-ready infrastructure.

Support for this episode provided by: Vertiv

More about this week's guests:

Bruce Gray, a results-driven IT executive at World Wide Technology since 2007, brings 25+ years of experience in Building Automation, IT, and Telecom. As Practice Manager, he leads business development and execution for data center design and IT facilities infrastructure. With a background in architecture, programming, and electrical engineering, Bruce excels in strategy, project management, and vendor relations—always seeking challenges that drive impact.

Bruce's top pick: Data Center Priorities for 2025

Mike Parham is a Technical Solutions Architect at World Wide Technology, where he has been delivering innovative IT solutions since 2011. With a strong technical background and a focus on aligning technology with business goals, Mike helps clients design and implement scalable, efficient architectures. He is known for his collaborative approach, deep expertise, and commitment to driving successful outcomes.

Mike's top pick: AI and Data Priorities for 2025

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

  continue reading

Chapters

1. AI's Hidden Infrastructure Crisis (00:00:00)

2. Power Demands: From 20kW to 600kW (00:04:32)

3. Facilities Readiness Assessment (00:09:55)

4. Cooling Solutions for AI Workloads (00:15:02)

5. Space and Cabling Constraints (00:26:01)

6. Building vs. Retrofitting Data Centers (00:31:13)

7. Liquid Cooling Technologies (00:36:20)

8. Future Challenges and Regulations (00:40:05)

17 episodes

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