Cerebras Hosts Qwen 3.8 27B LLM with 1,500 Tokens/Second Inference Speed
Cerebras has deployed the open-weights Qwen 3.8 27B language model on its hardware platform, achieving output generation speeds of up to 1,500 tokens per second. This deployment demonstrates how specialized AI hardware can significantly outperform traditional GPUs for real-time generative AI tasks. Offering open-weight models at these ultra-fast generation rates enables near-instantaneous responses for complex user workflows. While token generation speed reaches 1,500 tokens per second, users note that initial prompt reading speed is comparable to traditional cloud providers. Additionally, strict tokens-per-minute limits mean high-volume workloads can quickly exhaust available quotas.
## BACKGROUND
Cerebras Systems builds specialized computer hardware designed for deep learning workloads, notably using its massive Wafer-Scale Engine chips. Qwen is a family of open-weight large language models developed by Alibaba Cloud that is widely used for text generation, coding, and reasoning.