
Sign up to save your podcasts
Or
Patrick McKenzie (patio11) is joined by Azeem Azhar, writer of the Exponential View newsletter, to discuss the massive data center buildout powering AI and its implications for our energy infrastructure. The conversation covers the physical limitations of modern datacenters, the challenges of electricity generation, the societal ripples from historical largescale infrastructure investments like railways and telecommunications, and the future of energy including solar, nuclear and geothermal power. Through their discussion, Patrick and Azeem explain why our mental models for both computing and energy systems need to be updated.
–
Full transcript available here: www.complexsystemspodcast.com/ai-llm-data-center-power-economics/
–
Sponsors: Safebase | Check
Ready to save time and close deals faster? Inbound security reviews shouldn’t slow down your team or your sales cycle. Leading companies use SafeBase to eliminate up to 98% of inbound security questionnaires, automate workflows, and accelerate pipeline. Go to safebase.io/podcast
Check is the leading payroll infrastructure provider and pioneer of embedded payroll. Check makes it easy for any SaaS platform to build a payroll business, and already powers 60+ popular platforms. Head to checkhq.com/complex and tell them patio11 sent you.
–
Recommended in this episode:
–
Twitter:
@azeem
@patio11
–
Timestamps:
(00:00) Intro
(00:27) The power economics of data centers
(01:12) Historical infrastructure rollouts
(04:58) The telecoms bubble
(06:22) Unprecedented enterprise spend on AI capabilities
(11:12) Let's have your LLM talk to my LLM
(16:44) Is there a saturation point?
(19:25) Sponsors: Safebase | Check
(21:55) What’s in a data center?
(24:52) The challenges of data centers
(29:40) Geographical considerations for data centers
(36:53) Energy consumption and future needs
(40:48) Challenges in building transmission lines
(41:35) The solar power learning curve
(43:51) Small modular nuclear reactors
(51:26) Geothermal energy and fracking
(01:01:34) The future of AI and energy systems
(01:12:57) Wrap
4.8
9999 ratings
Patrick McKenzie (patio11) is joined by Azeem Azhar, writer of the Exponential View newsletter, to discuss the massive data center buildout powering AI and its implications for our energy infrastructure. The conversation covers the physical limitations of modern datacenters, the challenges of electricity generation, the societal ripples from historical largescale infrastructure investments like railways and telecommunications, and the future of energy including solar, nuclear and geothermal power. Through their discussion, Patrick and Azeem explain why our mental models for both computing and energy systems need to be updated.
–
Full transcript available here: www.complexsystemspodcast.com/ai-llm-data-center-power-economics/
–
Sponsors: Safebase | Check
Ready to save time and close deals faster? Inbound security reviews shouldn’t slow down your team or your sales cycle. Leading companies use SafeBase to eliminate up to 98% of inbound security questionnaires, automate workflows, and accelerate pipeline. Go to safebase.io/podcast
Check is the leading payroll infrastructure provider and pioneer of embedded payroll. Check makes it easy for any SaaS platform to build a payroll business, and already powers 60+ popular platforms. Head to checkhq.com/complex and tell them patio11 sent you.
–
Recommended in this episode:
–
Twitter:
@azeem
@patio11
–
Timestamps:
(00:00) Intro
(00:27) The power economics of data centers
(01:12) Historical infrastructure rollouts
(04:58) The telecoms bubble
(06:22) Unprecedented enterprise spend on AI capabilities
(11:12) Let's have your LLM talk to my LLM
(16:44) Is there a saturation point?
(19:25) Sponsors: Safebase | Check
(21:55) What’s in a data center?
(24:52) The challenges of data centers
(29:40) Geographical considerations for data centers
(36:53) Energy consumption and future needs
(40:48) Challenges in building transmission lines
(41:35) The solar power learning curve
(43:51) Small modular nuclear reactors
(51:26) Geothermal energy and fracking
(01:01:34) The future of AI and energy systems
(01:12:57) Wrap
4,221 Listeners
2,360 Listeners
1,697 Listeners
2,332 Listeners
122 Listeners
87 Listeners
320 Listeners
200 Listeners
106 Listeners
94 Listeners
68 Listeners
114 Listeners
137 Listeners
20 Listeners
377 Listeners