Distributed Computing
A computing model that splits workloads across multiple machines to process large-scale tasks in parallel
#Distributed Computing#distributed systems#parallel processing#cluster computing#scale-out
What is Distributed Computing?
Distributed Computing runs one workload across many machines instead of relying on a single server.
How does it work?
Work is partitioned into smaller units, processed in parallel, and then aggregated. This pattern underpins modern AI training and inference stacks.
Why does it matter?
Large AI workloads exceed single-machine limits. Distributed design enables higher throughput, resilience, and cost-performance control.
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