Groq

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.