Amp Raises $1.3 Billion to Build Shared AI Compute Grid

May 15, 2026
Menlo Park-based startup Amp has raised $1.3 billion to create an AI grid designed to make computing power more accessible by pooling data center capacity for smaller organizations and startups.

Amp, a Menlo Park startup founded by Anjney Midha, has raised $1.3 billion to build an AI grid that aims to make computing power more accessible, according to The New York Times. The company plans to acquire excess compute capacity from data centers in the United States and abroad and redistribute it to smaller organizations, universities, and startups that lack the resources to compete with larger technology firms.

Amp describes its approach as similar to an electrical grid, creating a shared pool of chips that coalition members can access. Founding members include France's Mistral, voice AI company ElevenLabs, and Germany's Black Forest Labs. The company targets a total capacity of 1.9 gigawatts within five years, with 200 megawatts expected to come online by the end of 2026.

The funding round includes contributions from venture capital firm Andreessen Horowitz and startup accelerator Y Combinator. Amp also plans to establish a public wealth fund to support communities affected by AI infrastructure expansion, pledging up to $500 million of profits toward the initiative by 2030.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Funding Brief

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more