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Volta Raises $300 Million To Tackle Soaring Cost Of Building AI Infrastructure

Building modern artificial intelligence requires massive amounts of capital. Standard server setups are no longer enough. Today, AI companies must buy thousands of costly chips, secure huge plots of land, The post Volta Raises $300 Million To Tackle Soaring Cost Of Building AI Infrastructure appeared first on Ventureburn .

Volta Raises $300 Million To Tackle Soaring Cost Of Building AI Infrastructure

Volta, an innovative cloud provider specializing in AI infrastructure, has secured $300 million in funding to address the escalating expenses associated with building AI hardware. This significant investment, which values the company at $2.4 billion, aims to transform how tech companies finance, develop, and operate computing resources.

Founded by Ricard Boada and Sofia Gumuzio, both with backgrounds in managing physical assets for an investment firm, Volta offers a novel approach to AI hardware procurement. Instead of forcing companies to purchase expensive chips outright, the business structures long-term asset deals that evenly distribute costs over several years.

This model allows startups to allocate their capital towards research, rather than being hindered by high upfront costs. Key investors include top firms Andreessen Horowitz and Altimeter Capital, along with technology leaders Nvidia and Michael Dell. Additionally, Volta has secured a $5 billion financing facility from global asset manager Azora, enabling the company to purchase servers at scale while providing AI developers with flexible access to hardware without compromising their financial stability.

Volta has also partnered with Anthropic on a six-year agreement worth $10 billion, leveraging Bitdeer's data center infrastructure in Norway to rapidly deploy Nvidia hardware. This collaboration reduces construction time and allows Volta to quickly provide computing power to corporations like Anthropic. The company's success could potentially democratize AI computing by removing financial barriers for emerging research teams, making future AI breakthroughs more accessible based on the efficiency of compute networks rather than ownership of financial resources.

Written by urgent.news from Ventureburn's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.

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