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AI Startup Modular Raises $250 Million to Take On Nvidia’s Software Dominance

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AI startup Modular announced Wednesday it has raised $250 million in fresh funding, giving the company a valuation of $1.6 billion as it looks to loosen Nvidia’s grip on the AI computing ecosystem.

The round, which nearly tripled Modular’s valuation from two years ago, was led by the U.S. Innovative Technology Fund with participation from DFJ Growth and existing backers GV, General Catalyst, and Greylock.

Founded in 2022 by former Apple and Google engineers, Modular has built a platform that lets developers run AI applications across multiple types of chips without rewriting code for each one. Its clients include cloud providers such as Oracle and Amazon, as well as chipmakers Nvidia and AMD.

Nvidia’s dominance—holding more than 80% of the high-end AI chip market—is reinforced by its proprietary CUDA software, which locks in over 4 million developers worldwide. Modular positions itself as a neutral alternative, branding its approach the “Switzerland strategy.”

Co-founder and CEO Chris Lattner emphasized that Modular isn’t aiming to topple Nvidia directly. “What we’re focused on is not like pushing down Nvidia or crushing them. It’s more about enabling a level playing field so that other people can compete,” he said.

The company plans to sell its software directly to enterprises on a usage-based model and through revenue-sharing deals with cloud providers. Investors are betting that a multi-vendor AI hardware future is inevitable. DFJ Growth partner Sam Fort described Modular as “VMware for the AI era,” enabling workloads to move seamlessly across different chip vendors.

With around 130 employees, Modular plans to use the new capital to grow its engineering and sales teams and to expand beyond AI inference into the more demanding AI training market.

Rick Perry’s Data Center REIT Fermi Targets $13 Billion Valuation in U.S. IPO

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Fermi, a real estate investment trust co-founded by former U.S. Energy Secretary Rick Perry, is seeking a valuation of up to $13.16 billion in its planned U.S. initial public offering, the company announced on Wednesday. The move comes as the surge in artificial intelligence drives demand for massive data center infrastructure.

The Amarillo, Texas-based firm aims to raise as much as $550 million by offering 25 million shares priced between $18 and $22 each.

Data centers have become prime assets as technology companies rush to build the computing power needed for advanced AI models. Fermi joins a growing list of AI-focused firms, such as CoreWeave and WhiteFiber, that have tapped public markets this year.

Founded in January 2025, Fermi has set its sights on developing the world’s largest energy and data complex, fueled by a combination of nuclear, natural gas, and solar power. Despite its ambitions, the company remains in an early development stage and has yet to generate revenue, reporting a $6.4 million loss since inception through June 30.

Fermi’s flagship initiative, known as Project Matador, plans to deliver up to 11 gigawatts of power for data centers by 2038, including one gigawatt ready by the end of 2026. The complex will span more than 5,200 acres in Texas and is expected to attract hyperscaler tenants.

“AI is arguably the investment story of a lifetime, but at this stage Fermi is still a story, and it’ll be interesting to see how much investors will pay for it,” said Matt Kennedy, senior strategist at Renaissance Capital. He described the valuation target as “very ambitious” for a development-stage company, highlighting the importance of securing contracts.

UBS, Evercore, Cantor and Mizuho are leading the IPO, with Fermi planning to list on both Nasdaq and the London Stock Exchange under the ticker “FRMI.” Proceeds from the offering will be used to purchase equipment and powered shells for the Texas complex.

Global companies pour billions into AI infrastructure with mega-deals

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A wave of multi-billion dollar investments is reshaping the AI landscape as chipmakers, cloud providers, and tech giants race to secure computing power for next-generation artificial intelligence. The surge follows OpenAI’s launch of ChatGPT in 2022, which sparked unprecedented demand for GPUs, cloud infrastructure, and data centers.

Key deals fueling the AI boom:

  • Nvidia & OpenAI – Nvidia to invest up to $100B in OpenAI and supply advanced AI chips, cementing its dominance in the AI ecosystem.

  • Nvidia & Intel – Nvidia invests $5B for a ~4% stake in Intel.

  • Oracle & Meta – In talks on a $20B cloud deal to boost Meta’s AI compute.

  • Oracle & OpenAI – Landmark deal worth $300B over five years for OpenAI to buy Oracle cloud capacity.

  • CoreWeave & Nvidia – $6.3B order ensuring Nvidia-backed startup CoreWeave absorbs unused cloud demand.

  • Nebius Group & Microsoft – $17.4B, five-year GPU deal to bolster Microsoft’s infrastructure.

  • Meta & Google – Six-year, $10B cloud agreement signed in August.

  • Intel & SoftBank – SoftBank injects $2B into Intel, becoming a top-10 shareholder.

  • Tesla & Samsung – $16.5B chip supply deal for Tesla’s next-gen AI6 chip, produced in Texas.

  • Meta & Scale AI – Meta takes 49% stake ($14.3B) in Scale AI, elevating CEO Alexandr Wang’s role in Meta’s AI strategy.

  • Google & Windsurf – $2.4B licensing deal for AI code generation tech.

  • CoreWeave & OpenAI – $11.9B, five-year contract signed before CoreWeave’s IPO.

  • Stargate Datacenter Project – Joint venture by SoftBank, OpenAI, Oracle, backed by U.S. President Donald Trump, with up to $500B in AI infrastructure funding.

  • Amazon & Anthropic – Amazon doubles down with a total $4B investment in Anthropic, developer of the Claude chatbot.

Why it matters:

  • Capital intensity: AI development is now measured in hundreds of billions, with infrastructure demands rivaling traditional energy projects.

  • Strategic alliances: Tech giants are securing long-term chip and cloud capacity to avoid bottlenecks.

  • Geopolitical edge: Governments, particularly the U.S., are encouraging private-public mega-projects like Stargate to keep ahead in the AI race.

The investment frenzy highlights a simple truth: the future of AI hinges not just on algorithms, but on who controls the world’s computing power.