← All news·2026-06-22·4 min read

Nvidia buys Groq team — Groq raises $650M

Nvidia pays $20B for a license and steals Groq’s Founder/President and Groq bounces back with $650M of new funding, new management, 5M+ developers, trillions of tokens per week.

GroqNvidiaAI чипыинференс

On June 22nd, Groq announced that they had received $650M in funding. This might seem like just another funding round, but there’s a lot more to this story. Back in December 2025, Nvidia purchased a non-exclusive license to Groq’s inference technology for approximately $20 billion. They also hired Groq’s founder Jonathan Ross (ex-Google) and president Sunny Madra. With this license, Nvidia released their own inference product, the Nvidia Groq 3 LPX, during their March 2026 GTC conference. Fast forward six months and Groq now has $650M in new funding, a new management team, and is continuing to grow.

The new team consists of Alan Rice (COO, ex-xAI/Meta), Sinclair Schuller (CTO, co-founder of Nuvalence), and Rakesh Malhotra (CPO, Microsoft cloud expert). Groq is focusing on their “neocloud” business, which is a cloud inference service with 13 data centers around the world in North America, Europe, the Middle East, and the Asia Pacific region. They have over 5 million developers, thousands of AI companies, and process trillions of tokens per week.

What makes Groq different from other AI cloud providers

Groq’s Language Processing Units (LPUs) are custom chips developed specifically for running a trained AI model as quickly as possible. Most cloud AI services use GPUs for inference, which are great, but not optimized for the serve path. LPUs change that equation. This means that Groq’s API has consistently provided answers faster than GPUs. This difference is usually not noticeable for most people, but it can be significant for low-latency applications such as voice assistants, real-time analytics, and AI agents that need to make model calls during an interaction without pausing.

What the raise signals

What does this mean? Basically, that Groq’s cloud inference service is a success. Despite losing their founder/president to the largest chip company in the world and seeing Nvidia create their own product based on Groq’s tech, Groq was able to maintain and increase their number of developers and weekly token count enough to convince investors to give them $650M. Groq isn’t a hyped up startup, they’re a company with real users.

With this new management team consisting of experts from Meta, xAI, and Microsoft cloud, it looks like Groq will be focusing on making their product available to more businesses instead of selling chips. This is good news for developers and builders because it suggests that Groq’s API will continue to be accessible and grow instead of being shut off.

ℹWhat I'd actually do

If you've never tested Groq's API for speed-sensitive work, now is a reasonable time to try. The API is compatible with the OpenAI format in most cases, so switching usually takes just a few lines. Run the same prompt through your current provider and through Groq and actually measure the latency difference. For voice tools, real-time pipelines, or anything where a model has to respond mid-task, that difference often matters more than which model you use.

Source: techcrunch.com

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EAEvgenii Arsentev

Author

Evgenii Arsentev

PhD · Founder & CEO, Dad4Kids