Groq is an AI inference platform built on a proprietary Language Processing Unit (LPU) designed from the ground up for ultra-low-latency, high-throughput AI inference. Unlike traditional GPU-based infrastructure, Groq's custom silicon delivers deterministic performance with speeds reaching over 1,000 tokens per second for supported models. The platform supports a broad range of open-source language models including Llama 3.3, Qwen 3, DeepSeek, and Mistral, as well as its own GPT OSS models, optimized for real-time text, audio, and vision workloads. GroqCloud provides a fully managed cloud API that developers can integrate with minimal setup, while GroqRack offers on-premises deployment for enterprise customers requiring data sovereignty. Groq's pricing is linear and usage-based with no hidden costs, making it predictable for production workloads. The platform also supports text-to-speech, speech recognition, prompt caching at 50% discount, and built-in tools including web search, code execution, and browser automation. Groq has rapidly gained popularity among developers building latency-sensitive AI applications, chatbots, and real-time inference pipelines.