Groq acquires Definitive Intelligence to supercharge GroqCloud

Groq has been turning heads with jaw-dropping inference speeds, but raw silicon in a lab doesn't matter if developers can't access it through an API. Now, the hardware startup is making moves to fix that.

AI chipmaker Groq announced that it has acquired fellow startup Definitive Intelligence for an undisclosed amount. The deal is aimed directly at expanding GroqCloud, a cloud platform that gives developers on-demand access to its ultra-fast LPUs.

From lab benchmark to cloud API

Groq was founded back in 2016 by Jonathan Ross, the former Google engineer who invented the search giant's TPU machine learning processors. Backed by over $360 million in funding, the company raised the bulk of its war chest in early 2021 via a Series C round co-led by Tiger Global and D1 Capital.

The company makes the LPU Inference Engine, a specialized processor designed to run trained large language models. In a benchmark test last November, Groq set a speed record running Meta's Llama 2 70B and claimed its hardware can run inference up to 10 times faster than competing chips.

The LPU uses cores called TSPs, each packing roughly 230 megabytes of memory. An on-chip network links them together and tracks precise transit times between cores, allowing LLMs to route data through the fastest available paths.

To get these chips into the hands of real builders, Groq recently launched GroqCloud. The platform includes developer resources and documentation to help engineers build apps tailored to Groq's unique architecture.

Absorbing the team behind GroqCloud

Definitive Intelligence is a Palo Alto-based analytics firm that previously raised more than $10 million. Its core product was an AI tool that lets users query datasets and generate visualizations using natural language.

As it turns out, Definitive Intelligence had already been helping Groq build GroqCloud prior to the buyout. Buying the company effectively brings the platform's core builders in-house.

Definitive Intelligence co-founder and CEO Sunny Madra is now joining Groq to head up the GroqCloud business unit. His immediate focus will be expanding capacity and onboarding new developers.

Groq is also leveraging the deal to launch a second unit called Groq Systems. That division will focus on helping large organizations and government agencies deploy physical LPU clusters on-premise.

Why it matters

If you are building latency-sensitive AI apps like live voice agents or rapid-fire reasoning loops, token generation speed makes or breaks the user experience. Scaling GroqCloud means developers can finally test Groq's high-speed inference through a standard API without buying specialized hardware.

For the AI chip sector, this acquisition highlights a harsh reality: hardware specs alone cannot beat Nvidia. Nvidia dominates largely because its CUDA software and cloud integrations are frictionless, while chip startups often struggle to build decent cloud tooling.

We think acquiring a team that already built GroqCloud is a smart shortcut to bypass that traditional hardware-company weakness. Instead of trying to morph chip designers into cloud product managers, Groq just bought an experienced software team.

The open question is operational scale. Because LPUs rely on small chunks of on-chip memory rather than high-capacity HBM, scaling this cloud platform to handle massive multi-tenant workloads could get expensive and complex fast.