Cerebras

What this post added

This post introduces and explains the concept of disaggregated AI inference, detailing the separation of prefill and decode phases. It highlights the technical advantages of this approach, particularly the benefits of heterogeneous disaggregation by pairing compute-optimized systems (AWS Trainium) with memory-bandwidth-optimized systems (Cerebras CS-3). The post quantifies the performance gains expected in terms of token throughput and tail latency, and discusses the underlying hardware capabilities of the Cerebras WSE-3 chip, emphasizing its on-chip SRAM and memory bandwidth as key differentiators for the decode phase.