Uncover how the Meta Llama API launch achieves 2,600 tokens/sec — and why each AI developer and enterprise ought to take be aware.
When Meta and Cerebras Programs teamed as much as launch the Meta Llama API, they didn’t simply push the envelope — they tore proper via it. Introduced at LlamaCon 2025, this new inference service delivers a staggering 2,600 tokens per second, eclipsing high-end GPUs by 18×. Whether or not you’re constructing real-time chatbots, code assistants, or large-scale summarization pipelines, this partnership guarantees to redefine what “low latency” actually means.
For the total deep-dive and to enroll in the developer preview, try our authentic put up right here:
🔗 Meta Llama API launch: Cerebras delivers 2,600 tokens/sec performance
On this article, we’ll discover:
- Why Meta selected open-source Llama
- What makes Cerebras’ wafer-scale engine so particular
- Benchmarks that put GPUs to disgrace
- Actual-world affect for builders and enterprises
- The way to get began as we speak
Seize a ☕ and let’s dive into the way forward for AI inference.
