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[ SF Tech Week ]
 
With Scott Wallace (Director Data Center Engineering, NVIDIA), Michael Stewart (Managing Partner, M12), Dr. Niklas Panten (Founder/CEO, etalytics).
Oct 07 (Wed) @ 06:00 AM       FREE
House of AI, 40 Boardman Pl, SF

 
      Register      
 
The AI race is no longer only about building more powerful models or deploying more GPUs. As AI workloads scale, the data centers & physical infrastructure behind them are becoming a critical constraint - from access to power & cooling capacity to the ability to operate increasingly complex facilities efficiently.

Join NVIDIA, M12, & etalytics for an evening exploring what will define the next era of AI infrastructure - followed by BBQ, drinks, & networking with leaders from across the AI, energy, & data center ecosystem.

Panelists
Scott Wallace, Director Data Center Engineering at NVIDIA
Michael Stewart, Managing Partner at M12
Dr. Niklas Panten, Co-Founder & CEO at etalytics

Moderated by
Marcus Schuler, San Francisco correspondent for FAZ, one of Germany's leading national newspapers

Agenda

6:00 PM - Doors Open & Welcome Drinks
Arrive, grab a drink, & connect with fellow attendees from across the AI, energy, & data center ecosystem.

6:30 PM - Welcome & Opening Remarks
A brief introduction from etalytics & our partners.

6:40 PM - Panel Discussion: The AI Power Crunch: Energy, Compute & the Race to Scale AI
Perspectives from NVIDIA, M12, & etalytics on the future of AI compute, data center infrastructure, energy, & intelligent operations.

7:25 PM - Audience Q&A
An opportunity to engage directly with the panelists.

7:40 PM - BBQ & Networking
Continue the conversation over BBQ, drinks, & informal networking with speakers & leaders from across the AI & data center ecosystem.

About the Conversation

How far can compute continue to scale? Where will new infrastructure software categories & investment opportunities emerge? And can we make data centers intelligent enough to dynamically manage power, cooling, capacity, & operational complexity?

The discussion will explore the transition from simply asking:

How much capacity can we build?

to a new & increasingly important question:

How much useful compute can we deliver from every megawatt?

We'll examine the convergence of AI compute, data center infrastructure, energy, software, & operational intelligence & what founders, operators, infrastructure providers, & investors should expect as AI moves into its next phase of scale.

Following the panel, attendees will have the opportunity to continue the conversation with speakers & other leaders across the AI & data center ecosystem over BBQ & drinks.

Learn more about etalytics at www.etalytics.com

This event is part of #SFTechWeek, a week of events hosted by leading founders, funds, & companies bringing together the tech ecosystem.
 
 
 
 
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