AI parallelism — what you need to know

AI models can run in two ways: broker-visible (shared infrastructure, low cost) or client-local (dedicated resources, higher cost). Broker-visible is fast but noisy — you share resources with other users. Client-local is slower but private — you get dedicated hardware. \nWhy this matters for us: Parallelism is the foundation of modern AI tools. Understanding these trade-offs helps you avoid over-promises from vendors.