Meta has announced a strategic partnership with Cerebras Systems to deliver ultra-fast inference through its newly launched Llama API. This collaboration integrates Llama—one of the world’s most widely adopted open-source large language models—with Cerebras’ record-breaking inference technology, unlocking a new era of performance for developers worldwide.
With the introduction of Llama 4 powered by Cerebras within the API, developers can now experience generation speeds up to 18x faster than conventional GPU-based approaches. This dramatic speed boost opens the door for a new class of AI applications that were previously unfeasible due to latency limitations. From real-time AI agents and low-latency conversational voice experiences to rapid multi-step reasoning and interactive code generation, tasks that once took minutes can now be completed in seconds.
Through this collaboration, Cerebras expands its global footprint by making its high-performance inference capabilities available to the vast developer ecosystem using Meta’s API platform. The partnership also strengthens Cerebras’ strategic alignment with Meta and its forward-thinking AI teams.
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Since debuting its inference solutions in 2024, Cerebras has consistently delivered industry-leading performance for Llama model inference, powering billions of token generations via its own AI infrastructure. Now, developers seeking a high-speed, scalable, and open alternative to proprietary models can leverage this new solution to build intelligent, real-time systems with enterprise-grade performance.
“Cerebras is proud to make Llama API the fastest inference API in the world,” said Andrew Feldman, CEO and co-founder of Cerebras. “Developers building agentic and real-time apps need speed. With Cerebras on Llama API, they can build AI systems that are fundamentally out of reach for leading GPU-based inference clouds.”
This partnership marks a significant milestone in the evolution of accessible, high-performance AI infrastructure, giving developers the tools they need to push the boundaries of what’s possible in real-time application development.
