Nvidia Pays Poolside $6 Billion for AI Model Development Software in Third Structured Deal

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Nvidia is licensing Poolside's Model Factory software for $6bn and hiring 109 employees while investing another $1bn in what remains. This marks Nvidia's third deal using a license-hire-invest structure that sidesteps traditional acquisition regulations, following similar arrangements with Groq and Enfabrica.

Nvidia Secures Poolside's Model Factory for $6 Billion

Nvidia has agreed to pay Poolside $6 billion for a non-exclusive license to the startup's AI model-building software, known as the Model Factory

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. The deal includes job offers to 109 of Poolside's employees and an additional $1 billion investment in the remaining company at a $12 billion pre-money valuation

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. According to an investor letter obtained by Newcomer, Poolside plans to distribute the $6 billion licensing fee to its investors by the end of next year

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. The three co-founders are staying with Poolside, and the letter explicitly states this is "not an acquisition and it is not an acquihire"

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Source: The Next Web

Source: The Next Web

Third Time Nvidia Uses Structured Deal Approach

This Nvidia Poolside deal represents the third time Nvidia has deployed this specific structure to acquire technology and AI talent while avoiding outright acquisition. The approach—licensing intellectual property, hiring key staff, taking an equity stake, and allowing the company to continue independently—has become a pattern for Nvidia's strategic investments

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. In December, Nvidia paid Groq $20 billion for its inference chip technology and hired the company's top engineers, while Groq remained independent and raised $650 million

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. By this month, Groq had closed a $350 million round at a $3.5 billion valuation, with Nvidia participating

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. Similarly, Nvidia spent over $900 million to license Enfabrica's AI hardware technology, which connects more than 100,000 GPUs to function as a single computer, and hired the company's CEO and other employees

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. These Nvidia licensing deals allow the chip giant to secure critical know-how without triggering the regulatory scrutiny that traditional acquisitions often face

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Why Poolside Stopped Building Frontier Models

Poolside's investor letter reveals the capital constraints that led to this arrangement. "For the last 3 1/2 years we've been directionally correct in a race where capital requirements went vertical," the letter states

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. The company faced a critical deadline at the end of last year when it had a six-week window to raise $2 billion for a 40,000 GB300 cluster scheduled to come online in January. "We didn't close it in time, and we lost the cluster," the letter explains

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. While Poolside could have built a frontier-rivaling model with 10,000 to 20,000 of those chips, next year's frontier models require "far more than an order of magnitude larger cluster," according to the letter

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. The constraint isn't only capital—it's physical data center space and contracted compute capacity. Poolside's own letter to investors noted that on its own, the company would have needed more access to Nvidia hardware than was possible to continue competing in AI model development

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What Nvidia Gains from AI Model-Development Software

The Model Factory represents the complete system Poolside used to build its AI models. Poolside began as a developer of coding AI agents before moving into data centers and releasing its own open-source model, Laguna, on Nvidia server chips

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. Laguna was positioned as the West's answer to DeepSeek and Qwen. Poolside's chief executive Eiso Kant revealed on the Latent Space podcast that fewer than 70 people built the company's model, with fewer than 115 working across engineering and research in total

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. This makes the departure of 109 employees particularly significant—what Latent Space called a "reverse-execuhire"

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. Nvidia builds its own open models in the Nemotron line and is working towards a trillion-parameter open model

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. The non-exclusive license means Poolside retains the ability to license the same AI model-building software to other companies

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Source: PYMNTS

Source: PYMNTS

Nvidia's Broader Acquisition Strategy in AI

Beyond the Poolside arrangement, Nvidia has been actively acquiring AI talent and technology through various means. The company acquired predictive AI software startup Kumo AI for $400 million in June

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. In December 2025, Nvidia acquired SchedMD and committed to continuing distribution of that company's open-source Slurm software, an AI workload management system for high-performance computing

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. Interestingly, Nvidia halved a $250 billion commitment to OpenAI this month

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. These moves suggest Nvidia is diversifying its AI strategy while maintaining flexibility through structured deals rather than traditional acquisitions.

What Happens Next for Poolside

Poolside's future direction remains unclear. The founders stated they are "not ready to share the updated vision"

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. However, Poolside Infrastructure Company, which spun out in January, is building a 1.2GW data center in Texas

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. The infrastructure company appointed a chief executive two months ago and a chief financial officer this week—both appointments predating Friday's announcement

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. The investor letter's thesis argues that human-level AI capability will be "fully commoditized by open source models"

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. Watch for how Poolside repositions itself with dramatically reduced headcount but significant capital, and whether other companies adopt similar structured deals to navigate the intersection of AI talent acquisition and regulatory oversight.

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