AI & Tech
Shift from General-Purpose to Domain-Specific Architecture
When computational demands reach a critical threshold in scale or complexity, the overhead costs of general-purpose architectures—power consumption, latency, and chip area—become unacceptable. The system undergoes a discontinuous phase transition, fragmenting into multiple specialized accelerators. This is not incremental optimization but a fundamental architectural paradigm shift: from a unified CPU handling all workloads to a heterogeneous computing ecosystem.
Read the daily articles behind this idea on the Chinese edition.