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Distributed Computing

Learn about the concept of distributed computing, which allows you to split your jobs across multiple workers.

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Distributed computing is a technique that allows you to split your jobs across multiple Pachyderm workers via the Parallelism PPS attribute. Leveraging distributed computing enables you to build production-scale pipelines with adjustable resources to optimize throughput.

For each job, all the datums are queued up and then distributed across the available workers. When a worker finishes processing its datum, it grabs a new datum from the queue until all the datums complete processing. If a worker pod crashes, its datums are redistributed to other workers for maximum fault tolerance.

Distributed computing basics