Cerebras has achieved a groundbreaking milestone in AI inference performance, establishing a new world record for processing speed with Meta’s flagship large language model. By delivering over 2,500 tokens per second on the massive 400B parameter Llama 4 Maverick model, Cerebras has demonstrated that specialized AI hardware can significantly outpace even the most advanced GPU solutions, reshaping performance expectations for enterprise AI deployments.
The big picture: Cerebras has set a world record for LLM inference speed, achieving over 2,500 tokens per second with Meta’s 400B parameter Llama 4 Maverick model.
Why this matters: Inference speed is critical for advanced AI applications, particularly for agents, code generation, and complex reasoning tasks where responsiveness determines usability.
By the numbers: Artificial Analysis tested multiple vendors against the same model, revealing a significant performance gap:
What they’re saying: “Cerebras is the only inference solution that outperforms Blackwell for Meta’s flagship model,” said Micah Hill-Smith, Co-Founder and CEO of Artificial Analysis.
Competitive advantage: Cerebras claims its solution is optimized specifically for Llama 4 and is available immediately without requiring special software optimizations.