Scale-Up vs. Scale-Out in AI Infrastructure: Key Differences and Real-World Examples
Scaling Challenges in the AI EraAnswer first: scale-up enlarges a tightly coupled compute domain, while scale-out connects multiple systems through a fabric; most production AI platforms use both, but the boundary, topology, parallelism, software, failure model, and economics are workload-specific. Review NVIDIA's s...