Groq builds AI inference infrastructure powered by its custom-designed Language Processing Unit (LPU). It offers GroqCloud, a cloud-based platform for fast, affordable AI inference, and GroqRack for on-premises deployment in data centers.

Who is Groq best for?

Groq serves enterprise customers across industries including technology, finance, healthcare, gaming, and automotive that need fast, cost-efficient AI inference at scale. It's used by companies like Dropbox, Vercel, Volkswagen, Canva, and Robinhood.

Do I need to install anything to use Groq?

No installation is required for GroqCloud; you access it as a cloud service. GroqRack is an on-premises solution that requires data center deployment.

Does Groq have a plan for teams or businesses?

Yes, Groq offers GroqCloud in public, private, or co-cloud deployment options designed for teams and enterprises.

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Groq

AI Infrastructure & MLOps

An AI inference platform and API for developers and enterprises, delivering low-latency, cost-efficient LLM and speech model inference via LPU hardware.

Available Via:WebAPICloud

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AI Infrastructure

Groq is an AI inference hardware and cloud platform for developers and enterprises that need high-speed, low-latency model inference for LLMs and related AI workloads.

Key capabilities include:

Language Processing Unit (LPU), a custom accelerator built specifically for inference, designed for deterministic performance and scalable throughput.
GroqCloud (Web, API, Cloud), a managed inference service with API access for deploying models quickly, including an OpenAI-compatible API endpoint for simpler migration.
GroqRack (on-premise), enterprise clusters with up to 64 interconnected LPUs for private, high-density inference deployments.
Model optimization and enterprise integration, including services to tune open-source models for Groq hardware and support custom deployments.

Pricing: Paid, with pay-per-token pricing for the GroqCloud inference API; enterprise hardware and managed services are available via direct engagement.

Notable for its LPU-first architecture (pioneered in 2016), which prioritizes inference speed and cost efficiency versus GPU-only stacks, and for adoption by organizations such as Dropbox, Vercel, Volkswagen, Canva, Robinhood, and others.

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Frequently Asked Questions About Groq

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Who is Groq best for?

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Does Groq have a plan for teams or businesses?

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