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Home » Artificial Intelligence

OpenAI Strikes $10 Billion Deal with Cerebras to Supercharge AI Speed

Published on: January 15, 2026, 7:23 AM EST
Barry Elad
Founder & Senior Journalist • 749 Articles
Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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OpenAI has signed a major multi-year deal with Cerebras worth over $10 billion to boost the speed and scale of its artificial intelligence services.

Quick Summary – TLDR:

  • OpenAI will purchase up to 750 megawatts of AI compute power from Cerebras through 2028.
  • The deal focuses on speeding up real-time inference and scaling AI workloads efficiently.
  • Cerebras’ chip systems offer up to 15x faster performance than traditional GPUs.
  • The agreement marks a strategic shift away from reliance on Nvidia and fuels IPO ambitions for both companies.

What Happened?

OpenAI and Cerebras have entered into a massive multi-year partnership that will see OpenAI purchase up to 750 megawatts of computing power from the chipmaker. The agreement is valued at over $10 billion and is designed to support the growing demand for high-speed AI inference as OpenAI continues scaling its products like ChatGPT. The partnership will begin rolling out in 2026 and gradually expand over several years.

OpenAI🤝Cerebrashttps://t.co/zvVIdIsw2u pic.twitter.com/cKUL5ZSTE3

— Cerebras (@cerebras) January 14, 2026

OpenAI’s Bet on Speed and Scale

This new collaboration underscores OpenAI’s commitment to building a diverse and resilient AI infrastructure. Rather than relying solely on Nvidia GPUs, OpenAI is integrating Cerebras’ wafer-scale chip systems, which are built for ultra low-latency performance. These chips bundle compute, memory, and bandwidth onto a single massive processor, eliminating many of the bottlenecks seen in conventional systems.

OpenAI’s Sachin Katti stated:

“

OpenAI’s compute strategy is to build a resilient portfolio that matches the right systems to the right workloads. Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people.

Sachin KattiOpenAI

Cerebras’ systems are reported to offer up to 15 times faster inference speeds than GPU-based setups. This improvement is especially valuable for tasks that require quick response times like coding agents, AI voice chat, and image generation.

Multi-Billion Dollar Deal with Strategic Impact

The financial structure of the agreement includes OpenAI purchasing cloud services powered by Cerebras chips. Cerebras will be responsible for building or leasing data centers to support the deployment, which will go live in multiple phases through 2028.

Cerebras CEO Andrew Feldman commented:

“

Just as broadband transformed the internet, real-time inference will transform AI, enabling entirely new ways to build and interact with AI models.

Andrew FeldmanCEO – Cerebras

He also noted the long-standing relationship between the two companies, dating back to their early technical collaborations in 2017.

The timing of this deal is especially crucial for Cerebras, which is currently preparing for an initial public offering (IPO). This partnership not only diversifies its customer base, reducing dependency on UAE tech firm G42, but also showcases the performance of its technology in a major commercial context.

Meanwhile, OpenAI is also reportedly laying the groundwork for its own IPO, potentially targeting a staggering $1 trillion valuation. CEO Sam Altman previously stated that the company aims to invest $1.4 trillion in building 30 gigawatts of compute infrastructure, a figure that highlights the intensity of the current AI race.

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The Bigger Picture in AI Infrastructure

The deal is one of the largest in the AI hardware space and signals a shift in the industry’s power dynamics. Nvidia’s dominance is facing new challenges from rising chipmakers like Cerebras. The focus on real-time inference performance could set a new standard for how AI applications are deployed and experienced.

In a landscape where speed, scale, and cost-efficiency are everything, OpenAI’s latest move shows its determination to lead not just in software and models, but also in hardware strategy.

SQ Magazine’s Takeaway

I think this is one of the smartest infrastructure bets OpenAI has made. If Cerebras can really deliver faster inference at this scale, it means ChatGPT and other AI tools can become way more responsive, smoother, and powerful in real time. That changes the entire user experience. Also, OpenAI choosing someone other than Nvidia is a big deal. It opens up the playing field and gives other chipmakers a real shot. And let’s be honest, spending $10 billion is no small thing. They are clearly gearing up for something massive.

Definition of AI Inference. Link to full glossary entry follows the description.AI Inference

AI inference is the execution phase where a trained AI model applies what it learned to new, unseen data and produces an output such as a prediction.

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Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Quick Summary – TLDR:
  • What Happened?
  • OpenAI’s Bet on Speed and Scale
  • Multi-Billion Dollar Deal with Strategic Impact
  • The Bigger Picture in AI Infrastructure
  • SQ Magazine’s Takeaway

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