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groq-guide

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Ultra-low-latency inference on Groq's LPU hardware — when tokens-per-second is the product requirement.

skills/groq-guide/SKILL.md

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## Overview

Groq runs language models on its own custom silicon — Language Processing Units
(LPUs) — delivering exceptionally high tokens-per-second and low latency for
supported open models. The value proposition is simple and sharp: when speed is
the binding constraint, Groq's hardware-tuned inference is among the fastest
available via API.

The tradeoff is model selection: Groq supports a curated set of models compiled
for its hardware, not the full open-model universe. You trade breadth for
velocity. For applications where latency defines the experience — voice agents,
real-time copilots, interactive tools, agents making many sequential calls —
that trade is often worth it.
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