Groq
Language Processing Units (LPUs) for ultra-fast AI inference.
Updated May 2026
Overview
- Website
- groq.com
- Ownership
- Private
- Segment
- GPU & AI Accelerators
Product overview
Groq develops custom AI inference chips called Language Processing Units (LPUs) and systems like GroqRack, optimized for running large language models with deterministic execution and on-chip SRAM for sub-millisecond latency.. Unlike GPUs, LPUs use a software-first assembly line architecture that's up to 10x more energy-efficient and faster for inference workloads. Customers include developers via GroqCloud (2M+ users), enterprises like Bell Canada and Aramco Digital, and Fortune 100 companies for cloud inference and on-premises deployments.
Revenue model
Primarily pay-per-token cloud inference via GroqCloud, plus direct GroqRack hardware sales to enterprises and technology licensing (e.g., Nvidia deal)..
Moat
Groq's primary competitive moat is its proprietary SRAM-only architecture and vertically integrated chip design, which delivers superior inference speed and cost efficiency that competitors cannot easily replicate. This is reinforced by its focused specialization in low-latency AI inference (rather than broad GPU applications), domestic U.S. manufacturing for supply chain resilience, and continuous architectural innovation that creates sustained performance advantages.
Stack lineage
What powers Groq
No relationships recorded yet.
What Groq powers
- NVIDIA
We have entered into an intellectual property license arrangement with Groq, Inc., or Groq, that required significant, nonrefundable payments.