Cerebras Deploys Multi-Trillion Parameter Models at 2000+ Tokens Per Second
October 24, 2026
Cerebras uses WSE-3T wafer-scale chips to run multi-trillion parameter models by splitting weights across multiple wafers. Using the 3T parameter Kimi K3 model as a benchmark, the system achieves 1000-2000+ tokens per second by fitting the full model into on-chip memory.
HOW THIS AFFECTS YOU
●
builderYou can deploy trillion-parameter models with extremely high throughput using wafer-scale architecture.
●
founderThis provides a hardware path to serving massive frontier models without the latency bottlenecks of traditional GPU clusters.