Groq raises $350 million at $3.5 billion valuation to scale AI inference cloud

The Series A, led by Disruptive with planned participation from NVIDIA, takes Groq’s recent funding to $1 billion

Groq has secured $350 million to expand its global AI inference infrastructure

Groq has announced a $350 million Series A to expand its AI inference infrastructure, valuing the San Francisco company at $3.5 billion as it prepares to increase its data center capacity from 54 megawatts to more than 200 megawatts in 2027.

Disruptive led the round, with NVIDIA expected to participate. The transaction remains subject to customary closing conditions, so NVIDIA’s involvement is planned rather than completed.

The financing follows a separate $650 million raise in June 2026. Together, the two rounds give Groq $1 billion in recent funding.

Groq operates 13 data centers across North America, Europe, the Middle East and Asia Pacific. It says its GroqCloud platform serves more than six million developers, Fortune 500 enterprises and thousands of AI-native companies, generating trillions of tokens each week.

The scale of the investment reflects the infrastructure required to run AI models in production, where systems must respond to users in real time rather than train models for future deployment.

Capital will support NVIDIA computing clusters

Groq is known for its language processing unit, or LPU, infrastructure. The new funding will also support customers seeking medium and larger clusters of NVIDIA accelerated computing for AI training and inference.

The company is an NVIDIA Cloud Partner, a certification covering the design, deployment and operation of accelerated computing infrastructure according to NVIDIA’s reference architecture and operational standards.

Adam Winter, Groq’s Interim CEO, shared on LinkedIn that the capital would allow the company to equip its data centers with its latest inference technology and expand beyond 200 megawatts.

“Inference is becoming the largest and most critical layer of AI infrastructure,” he wrote. “As AI moves from training into real-time production everywhere, demand for fast, reliable, cost-efficient inference will only grow.”

That view also underpins Disruptive’s investment. Alex Davis, Groq Executive Chairman and CEO of Disruptive, says the company will concentrate on supporting model developers as it expands its cloud capacity.

“Our team has unmatched experience operating LPUs at scale and delivering the performance, efficiency and reliability that the next generation of AI demands,” Davis states.

Groq builds out infrastructure leadership

Groq’s current leadership team brings together experience in cloud infrastructure, data centers, enterprise software and AI.

Winter joined the company in 2024 to lead its international business and became CEO in 2026, following earlier work at Cisco and across cloud, cybersecurity and AI companies.

Chief Operating Officer Alan Rice previously worked at xAI, now SpaceXAI, and Meta, and has experience in hyperscale data centers and mission-critical infrastructure. Chief Technology Officer Sinclair Schuller leads development of Groq’s software and hardware inference stack, while Chief Financial Officer Matt Eng oversees the deployment of capital as the company expands.

Groq expects its global data center footprint to grow from its current 54-megawatt capacity to more than 200 megawatts during 2027.