Meta and Cerebras collaborate for quick inference with Llama API

Meta has joined forces with Cerebras to introduce the new Llama API, specifically designed to cater to developers. This collaboration aims to provide ultra-fast inference capabilities by combining the widely used open-source model, Llama, with the cutting-edge inference technology offered by Cerebras. Developers utilizing the Llama 4 Cerebras model within the API can experience generation speeds that are up to 18 times faster than conventional GPU-based setups. This significant acceleration opens up a realm of possibilities for creating applications that were previously unattainable with other technologies.

The enhanced speed offered by the Llama API enables the development of a new breed of applications that demand real-time responsiveness. Tasks such as real-time agents, low-latency voice interactions, interactive code generation, and multi-step reasoning that involve chaining multiple LLM calls can now be executed within seconds rather than minutes. This breakthrough in speed and efficiency paves the way for the creation of more sophisticated and responsive AI systems.

By integrating Llama models into the Meta API service, Cerebras is able to reach a wider global audience of developers. Since the introduction of its inference technology in 2024, Cerebras has established itself as a frontrunner in delivering the fastest Llama inference available in the market. With billions of tokens processed through its AI infrastructure, Cerebras now offers the broader developer community a powerful alternative to build intelligent, real-time systems.

Andrew Feldman, the CEO and co-founder of Cerebras, expressed pride in making the Llama API the fastest inference API globally. He emphasized the importance of speed for developers working on agentic and real-time applications. By leveraging Cerebras on the Llama API, developers can create AI systems that were previously beyond the capabilities of leading GPU-based inference clouds. This advancement marks a significant leap forward in the realm of AI development and real-time applications.

According to a benchmarking analysis conducted by Artificial Analysis, Cerebras AI achieves an impressive inference speed of over 2,600 tokens per second for Llama 4 Scout. In comparison, ChatGPT processes approximately 130 tokens per second, while DeepSeek manages around 25 tokens per second. Developers looking to leverage the fastest Llama 4 inference can easily do so by selecting Cerebras from the model options available within the Llama API. This streamlined process empowers developers to prototype, build, and scale real-time AI applications with unparalleled speed and efficiency.