Cerebras IPO and the Three Bottlenecks in Its Custom-Everything Architecture: The article sets up the core question of whether Cerebras’ custom-everything architecture can scale revenue past strategic deals without being constrained by a single design choice or supplier.
How Wafer-Scale Inference Actually Works: The Wafer Scale Engine (WSE) leverages its massive SRAM memory bandwidth to accelerate the memory-bound decode phase of inference, which is a new opportunity for the chip originally designed for training.
Yield, Stitching, and the TSMC Lock-In: Cerebras’ success in solving the physical challenges of wafer-scale chips has created a real and enduring foundry lock-in with TSMC.
The OpenAI Deal: Cloud Service, Not Hardware Sale: The agreement with OpenAI is a $20 billion compute-time commitment requiring Cerebras to build and operate data centers, making them operationally responsible for running AI infrastructure at scale.
Risk Analysis: Four risk vectors that come into question as Cerebras prepares for scale.