Groq Raises $650M to Scale Its AI Inference Cloud Business

Summary:

• Capital injection to accelerate expansion of Groq’s global AI inference cloud and scale toward 200MW by 2027
• Already operating 13 data centers across North America, Europe, the Middle East and APAC, serving more than five million developers and processing trillions of AI tokens each week
• Strengthens leadership team with Alan Rice, Sinclair Schuller, and Rakesh Malhotra, combining world-class data center operations, enterprise software, and platform expertise to accelerate adoption of Groq’s AI inference cloud

Groq announced $650 million in new growth capital to accelerate the expansion of its AI inference cloud.The round was led by Disruptive and Infinitum, with participation from investors who elected to reinvest in the company.

The company’s current trajectory began in December 2025, when Groq entered into a non-exclusive licensing agreement with Nvidia. At this year’s GTC, Nvidia announced its next-generation LPX platform, incorporating Groq’s inference technology. Following these milestones, Groq’s board and lead investors, Disruptive and Infinitum, worked alongside management to sharpen the company’s strategic focus around a single opportunity: building the world’s leading AI inference cloud. Over the subsequent months, the company strengthened its leadership team, aligned its operating model around inference at scale, and positioned itself to capitalize on what it believes will become one of the largest infrastructure markets in technology.

Today, Groq operates 13 data centers across North America, Europe, the Middle East and APAC. The company serves more than five million developers and thousands of AI-native companies that consume trillions of tokens each week.

The new capital accelerates the fit-out of its existing footprint with Groq’s latest inference technology, including the new LPX system from Nvidia. Groq expects to scale toward 200 MW by the end of 2027.

“Groq has spent years building the technology, infrastructure, and operational expertise required for the next phase of AI. Today, the company has a proven global platform, a world-class leadership team, and a clear strategy focused on one of the most important opportunities in technology: AI inference at scale. We believe that combination positions Groq to become a foundational layer of the AI economy,” said Alex Davis, chairman, Groq, and founder and CEO, Disruptive.

“We believe inference will become the largest infrastructure market in technology. As AI moves from experimentation to production, demand for reliable, cost-efficient inference will continue to grow exponentially. Groq has the rare combination of differentiated technology, operating expertise, and global scale required to capitalize on that opportunity,” said John Yetimoglu, board member, Groq, and founder and chief investment officer, Infinitum.

New Leadership Team
Groq’s near-term competitive advantage is its operational expertise in AI inference, supported by what it believes is the only engineering team in the world with hands-on experience operating LPUs at scale.

The company is now focused on accelerating business expansion and commercial adoption under a leadership team that combines deep infrastructure, platform, and enterprise software experience.

Groq is chaired by Alex Davis of Disruptive and led by Adam Winter, CEO, and Matt Eng, CFO, both long-standing leaders that have spent years building and scaling the company’s technology, infrastructure footprint, and commercial operations.

They are joined by Alan Rice, COO, who was previously at xAI (now SpaceXAI) and Meta Datacenters, after an earlier career in US Navy nuclear submarine operations.

Starting in July, the company is also appointing Sinclair Schuller, CTO, and Rakesh Malhotra, CPO, longtime partners who worked together at Apprenda, the enterprise cloud platform Schuller founded and later sold to Atos. The pair then co-founded Nuvalence, a software-engineering and digital-transformation firm acquired by EY in 2024. Earlier, Malhotra spent roughly a decade at Microsoft leading cloud, data-center-management, and enterprise-storage products.

The leadership team brings a rare combination of inference operations, hyperscale infrastructure, company-building, and enterprise software expertise as Groq enters its next phase of growth.

The Inference Opportunity
Running AI models, known as inference, is a far larger opportunity than training them. Over time, inference will demand an estimated 15 to 20 times more compute. Most AI clouds today are built for training and no company yet leads the inference category. The challenge in inference is delivering fast, reliable output at a competitive price. Groq was built for exactly that, and believes its approach will deliver the best value-to-performance available for the most demanding AI applications.