{"slug": "amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try", "title": "AMP PBC wants to turn GPUs into a utility, and it has $1.3 billion to try", "summary": "AMP PBC, a public benefit corporation founded by Anjney Midha, is building a shared GPU network to pool idle chips from data centers and lower AI compute costs. The company has secured $1.3 billion in funding commitments from Andreessen Horowitz and Y Combinator to develop this 'electric grid for AI compute,' aiming to make GPU access more affordable for smaller AI teams.", "body_md": "# AMP PBC wants to turn GPUs into a utility, and it has $1.3 billion to try\n\nAnjney Midha's public benefit corporation is building an electric grid for AI compute, pooling idle GPUs from scattered data centers to bring down soaring rental costs\n\nThe world runs on electricity, but nobody builds their own power plant. Anjney Midha thinks AI compute should work the same way. His company, AMP PBC, is building what amounts to an electric grid for GPUs, pooling underutilized chips from independent labs and data centers into a shared network that member AI labs can tap on demand.\n\nIt’s a simple idea with a complicated execution. And Midha has $1.3 billion in funding commitments from backers including Andreessen Horowitz and Y Combinator to figure it out.\n\n## The GPU crunch is real, and getting worse\n\nHere’s the thing about GPUs right now: there aren’t enough to go around, and the ones available aren’t cheap. Cloud GPU rental prices have surged, with hourly rates for B200 units reaching $4.89. Those rates have roughly doubled since January 2026, squeezing smaller AI teams that can’t match the purchasing power of Big Tech.\n\nThis is the bottleneck Midha identified after leaving his role at Andreessen Horowitz. The venture capital world gave him a front-row seat to the problem. Startups with promising AI research kept hitting the same wall: they couldn’t get enough compute at a price that made sense. Meanwhile, data centers and independent operators were sitting on GPUs that weren’t running at full capacity.\n\n## How the grid works\n\nAMP PBC operates as a public benefit corporation, a legal structure that lets the company pursue social objectives alongside profit. The firm has two arms: a compute grid and a venture operation.\n\nThe grid is the core product. Data center operators with idle GPUs contribute capacity to the network. AI labs that need compute can pull from the pool at rates that AMP aims to keep below the volatile spot market. Operators who contribute excess capacity can sell it through the grid for profit, creating a two-sided marketplace.\n\nThe venture arm, meanwhile, gives AMP a direct channel into the startup ecosystem. By investing in early-stage AI companies, the firm creates built-in demand for its own infrastructure.\n\nMidha has been making the rounds to explain this vision, including a May 5 appearance on the TBPN podcast and a June 2 CNBC segment focused on opportunities in AI infrastructure.\n\n## What this means for investors and the broader AI market\n\nThe $1.3 billion in funding commitments signals that serious institutional money sees this thesis as credible. When Andreessen Horowitz backs a company founded by one of its own former partners, it’s not a casual bet.\n\nFor smaller AI teams, the current economics of GPU access create a structural advantage for companies like Google, Microsoft, and Meta, organizations that can afford to build and fill their own data centers. A functioning compute grid could narrow that gap, giving startups and independent researchers access to hardware they couldn’t otherwise afford.\n\nThe competitive landscape matters too. CoreWeave has built a massive GPU cloud business. Lambda Labs offers on-demand GPU clusters. Together AI focuses on distributed inference. AMP’s grid model is differentiated by its utility framing and public benefit structure, but the space is getting crowded.\n\nFor crypto-adjacent investors, the overlap is worth noting. Render Network, Akash, and io.net all pursue variations of this idea using blockchain-based coordination layers. AMP takes a centralized approach, which may sacrifice the ideological purity of decentralization but could gain advantages in performance and reliability.\n\n**Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try", "canonical_source": "https://cryptobriefing.com/amp-pbc-gpus-utility-compute-grid/", "published_at": "2026-06-13 08:07:29+00:00", "updated_at": "2026-06-13 08:22:39.889905+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-chips", "ai-startups", "artificial-intelligence", "ai-tools"], "entities": ["AMP PBC", "Anjney Midha", "Andreessen Horowitz", "Y Combinator", "CoreWeave", "Lambda Labs", "Together AI", "Nvidia"], "alternates": {"html": "https://wpnews.pro/news/amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try", "markdown": "https://wpnews.pro/news/amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try.md", "text": "https://wpnews.pro/news/amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try.txt", "jsonld": "https://wpnews.pro/news/amp-pbc-wants-to-turn-gpus-into-a-utility-and-it-has-1-3-billion-to-try.jsonld"}}