Groq is an AI infrastructure company that provides ultra-fast inference for large language models through its custom-designed Language Processing Unit (LPU) hardware and cloud API. Founded in 2016 by Jonathan Ross, who previously led the development of Google's Tensor Processing Unit (TPU), Groq has built purpose-designed semiconductor chips optimized specifically for the sequential nature of language model inference, achieving dramatically lower latency and higher throughput compared to traditional GPU-based inference. The Groq LPU architecture uses a deterministic compute model that eliminates the memory bandwidth bottleneck typical in GPU-based LLM inference, enabling token generation speeds that are often several times faster than competing providers. The GroqCloud API provides developers with access to popular open-source language models including LLaMA, Mistral, Mixtral, and Gemma at remarkably fast speeds. The API follows the OpenAI-compatible format, supporting chat completions, function calling, JSON mode, and streaming, making it a drop-in replacement for developers looking to improve inference speed. Groq is particularly well-suited for applications where response latency matters, such as real-time conversational AI, interactive coding assistants, voice-based AI interfaces, and any application where users benefit from near-instantaneous responses. Beyond its cloud API, Groq offers on-premises GroqRack deployments for enterprises requiring dedicated infrastructure. The company also provides GroqCloud for managed deployments with options for dedicated capacity. GroqCloud API pricing follows a pay-per-token model with competitive rates that vary by model, and includes a free tier with rate limits for developers to test and prototype. Groq has gained significant attention in the AI developer community for demonstrating that purpose-built hardware can dramatically accelerate LLM inference.

AI GPU云

Groq 运营基于其专有 LPU（语言处理单元）芯片的云基础设施，该芯片专为 LLM 推理而设计。虽然不使用传统 GPU，但 Groq 提供 AI 计算云服务，包括共享 API 访问和专用 GroqRack 部署，供需要保障容量的组织使用。

AI模型托管

Groq 在其定制 LPU 硬件上托管和提供开源 AI 模型，提供可实现行业领先速度的托管推理基础设施。组织可以通过共享 API 访问模型，或部署专用 GroqRack 系统进行私有的、高吞吐量的模型服务。

LLM API

Groq 提供现有最快的 LLM 推理 API 之一，其提供流行开源模型的服务速度比基于 GPU 的替代方案快数倍。其 OpenAI 兼容 API 支持聊天完成、函数调用和流式传输，是对延迟敏感的应用的理想选择。

开源 LLM

Groq 通过其超快推理平台提供流行的开源语言模型，包括 LLaMA、Mistral、Mixtral 和 Gemma。其 LPU 硬件使这些开源模型能以比传统 GPU 基础设施快得多的速度运行，使其对实时应用更加实用。