Serverless platforms can execute thousands of functions simultaneously. Each function runs independently, enabling massive parallel processing. Tasks like data transformation or simulations complete faster by splitting work across functions. There’s no need to manually configure parallel infrastructure. This makes large computations accessible to smaller teams.
Parallelism accelerates processing of large workloads. Time-to-result shrinks.
This democratizes access to high-performance computing patterns.
Serverless supports massive parallel execution by default.
[Google Cloud Functions Docs, cloud.google.com]