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.
- Independent benchmark firm Artificial Analysis measured Cerebras at 2,522 tokens per second per user, more than doubling the 1,038 tokens per second recently announced by NVIDIA’s flagship Blackwell GPUs.
- This performance milestone makes Cerebras the first and only inference solution to break the 2,500 TPS barrier with the largest and most powerful model in the Llama 4 family.
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:
- Cerebras: 2,522 tokens per second
- NVIDIA Blackwell: 1,038 tokens per second
- SambaNova: 794 tokens per second
- Groq: 549 tokens per second
- Amazon: 290 tokens per second
- Google: 125 tokens per second
- Microsoft Azure: 54 tokens per second
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.
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