---
title: "Your Next AI Query May Travel Where the Power Is"
slug: "your-next-ai-query-may-travel-where-the-power-is"
date: 2026-05-12
category: tech-pub
tags: [nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/your-next-ai-query-may-travel-where-the-power-is
---

# Your Next AI Query May Travel Where the Power Is

**Published**: 2026-05-12 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.

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## Summary

The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power. Nvidia is teaming up with InfraPartners, Prologis, and nonprofit EPRI to build about 25 micro data centers (5–20 MW each) next to utility substations at five US utilities. Compute shifts automatically to wherever spare power is available — if one substation is overloaded or offline, the workload moves to another with capacity. The pilot aims to spread AI demand across the grid instead of overwhelming single nodes.

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## Why it matters

The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.

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## Key Points

- The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.
- Nvidia is teaming up with InfraPartners, Prologis, and nonprofit EPRI to build about 25 micro data centers (5–20 MW each) next to utility substations at five US utilities.
- Compute shifts automatically to wherever spare power is available — if one substation is overloaded or offline, the workload moves to another with capacity.
- The pilot aims to spread AI demand across the grid instead of overwhelming single nodes.

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## Nauti's Take

Promising approach: instead of building monster data centers, Nvidia spreads AI workloads across 25 smaller sites wired directly into the grid — easing pressure on overloaded substations and making the network more resilient. The catch: 5–20 MW each is still a massive load, and 'shiftable compute' only works for training or batch jobs, not real-time inference. A solid pilot for utilities and hyperscalers; teams that need predictable latency should watch carefully.

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## FAQ

**Q:** What is Your Next AI Query May Travel Where the Power Is about?

**A:** The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.

**Q:** Why does it matter?

**A:** The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.

**Q:** What are the key takeaways?

**A:** The rise of electricity-guzzling data centers has forced the AI industry to get creative about finding power.. Nvidia is teaming up with InfraPartners, Prologis, and nonprofit EPRI to build about 25 micro data centers (5–20 MW each) next to utility substations at five US utilities.. Compute shifts automatically to wherever spare power is available — if one substation is overloaded or offline, the workload moves to another with capacity.

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## Related Topics

- [nvidia](https://news.ainauten.com/en/tag/nvidia)

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## Sources

- [Your Next AI Query May Travel Where the Power Is](https://spectrum.ieee.org/distributed-inference-data-centers) - IEEE Spectrum AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-05-12*