Cerebras

This post discusses how Cerebras' Wafer-Scale Engine, with its on-chip memory and high token-per-second throughput, can significantly reduce the latency overhead associated with MCP protocols in agentic AI workflows. It posits that faster inference infrastructure makes the structured, auditable nature of MCP more practical for enterprise deployments by mitigating the performance cost of tool calls.