Groq

Groq is an AI inference platform famous for one thing above all: speed. Powered by its own custom hardware — the Language Processing Unit (LPU) — Groq runs popular open large language models at remarkably high speeds and low latency, often generating responses far faster than conventional GPU-based services. For developers building AI applications where responsiveness matters, this near-instant inference is a genuine game-changer.

The reason Groq is so fast comes down to its purpose-built chips, designed specifically for the sequential nature of language model inference rather than repurposed from graphics workloads. The result is throughput and latency that make real-time AI experiences feel truly real-time — chatbots that respond the instant you finish typing, voice agents with minimal lag, and agentic systems that chain many model calls without slowing to a crawl. Speed isn't just a nicety here; it unlocks use cases that feel sluggish or impractical on slower infrastructure.

Groq offers access to a range of leading open models through a simple, fast API (and a cloud console), making it easy for developers to switch from slower providers and immediately feel the difference. Because it focuses on inference of open models, it appeals to teams that want high performance and predictable, competitive pricing without being locked into a single closed model vendor. For applications like conversational AI, real-time assistants, voice interfaces and high-volume agentic workflows — anywhere latency directly shapes the user experience — Groq has become a standout choice. It represents a hardware-led approach to the AI boom, betting that as models become commoditized, the speed and efficiency of running them will be a decisive advantage. For developers chasing fast, responsive AI, Groq delivers.