Groq is built from the chip up for fast, efficient inference at scale.
Groq was established in 2016 for one thing: inference.
We built our own chip—the LPU—because GPUs weren’t designed for the job. It’s developed in the U.S. and backed by a resilient domestic supply chain.
That hardware powers GroqCloud™—a full-stack platform delivering the most efficient, real-time inference at scale.
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Jonathan RossCEO & Founder
Independent 3rd party benchmarks from ArtificialAnalysis.ai
Other inference slows down when the real work starts. Groq has sub-millisecond latency that stays consistent across traffic, regions, and workloads.
Groq’s architecture is uniquely designed to run small models as well as voice and very large models, including MoE architecture at scale.
Independent 3rd party benchmarks from ArtificialAnalysis.ai
Groq provides the lowest cost per token, even as usage grows, without sacrificing speed, quality, or control.
