Groq, a recognized leader in AI inference technology, announced a strategic collaboration with Meta to power the official Llama API. This partnership delivers developers the fastest and most cost-effective solution to run the latest Llama models, marking a new benchmark in AI performance.
Currently in preview, the Llama 4 API—now accelerated by Groq—runs on the Groq Language Processing Unit (LPU), the world’s most efficient inference chip. This integration enables developers to deploy Llama models with unmatched speed, predictable low latency, and seamless scalability, all without compromising on cost or performance.
“Teaming up with Meta for the official Llama API raises the bar for model performance,” said Jonathan Ross, CEO and Founder of Groq. “Groq delivers the speed, consistency, and cost efficiency that production AI demands, while giving developers the flexibility and control they need to build fast.”
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Unlike traditional GPU-based stacks, Groq offers a vertically integrated architecture purpose-built for inference. From its proprietary silicon to its cloud-native deployment, every component of the Groq stack is designed to deliver reliable, deterministic performance that scales effortlessly. This architecture is rapidly becoming the go-to solution for developers looking to move beyond the limitations of general-purpose compute.
The official Llama API provides direct access to Meta’s open-source Llama models, optimized specifically for production environments.
By leveraging Groq’s high-performance infrastructure, developers benefit from:
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Blazing-fast inference speeds of up to 625 tokens per second
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Effortless migration—just three lines of code to switch from OpenAI
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Zero cold starts, no fine-tuning required, and no GPU overhead
Groq supports real-time AI deployment for a growing ecosystem of over 1.4 million developers and numerous Fortune 500 companies, all building AI applications that demand speed, reliability, and scale.
