{"id":69516,"date":"2025-05-19T08:20:11","date_gmt":"2025-05-19T08:20:11","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/groq"},"modified":"2026-09-25T09:27:03","modified_gmt":"2026-09-25T09:27:03","slug":"groq","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/groq","title":{"rendered":"Groq"},"content":{"rendered":"

\"Groq,Definition:<\/strong><\/p>\n

Groq<\/a><\/strong> is a US technology company specializing in infrastructure for running artificial intelligence models. Its platform uses LPU processors and cloud services to perform low-latency inference: producing responses from models that have already been trained.<\/p>\n

Groq is not a language model or a conversational assistant. It provides computing capacity and an API through which applications can use the models available in its catalog.<\/p>\n\n

Origin and evolution of Groq<\/h2>\n

Groq was founded in 2016 by Jonathan Ross after his involvement in the development of Google’s Tensor Processing Unit. The company pursued an architecture in which the compiler and processor are designed together to run artificial intelligence<\/a> workloads predictably.<\/p>\n

Its work has focused on inference. Access to the hardware later expanded through GroqCloud, which enables users to run hosted models over the internet without directly managing the processors.<\/p>\n

What inference means in Groq<\/h2>\n

Training adjusts a model’s parameters using data; inference<\/strong> uses the trained model to process an input and produce a result. A generative AI<\/a> application performs inference whenever it answers a prompt, transcribes audio or generates structured output.<\/p>\n

In simplified terms, a request made through GroqCloud follows this path:<\/p>\n

    \n
  1. The application sends a request<\/strong> and identifies the model it wants to use.<\/li>\n
  2. The platform routes the request<\/strong> to the infrastructure running that model.<\/li>\n
  3. The LPUs process the inference<\/strong> according to the schedule prepared by the compiler.<\/li>\n
  4. The API returns the result<\/strong> and the technical data associated with the operation.<\/li>\n<\/ol>\n

    How the LPU works<\/h2>\n

    The Language Processing Unit<\/strong> is the processor developed by Groq for inference workloads. Despite its name, it can run other compatible models based on linear algebra operations. Several elements distinguish its design from more general-purpose hardware<\/a>:<\/p>\n