Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Automation fundamentals, platforms and components

Memory (RAM)

Also known as: Main memory, Work memory, RAM

German: Arbeitsspeicher

In computing and PLCs, memory (RAM, main or work memory) is the fast, usually volatile memory in which a processor holds the program parts and data it is currently executing. In PLCs, the work memory holds the runtime-relevant code and data.

  • Automation components

In one sentence

Memory (RAM) is the fast working memory where a processor or PLC holds the code and data it is currently executing.

Example

The PLC's work memory is 85 % full, so the project team moves diagnostic data to a separate controller before adding new functions.

How it applies

  • Engineering: Controller selection considers work memory for code and data; many PLCs distinguish work memory from load memory (the stored project) and retentive memory.
  • Operation: Volatile memory loses its content on power loss unless data is retentive or backed up.
  • Documentation: Technical data should state memory sizes by type. Software documentation should record memory usage and reserve at delivery, which helps plan later extensions.
  • Maintenance: Memory upgrades or CPU replacement are sometimes the only way to extend a controller that has run out of memory.

Work memory vs. load memory

Load memory stores the complete project, often on a memory card. Work memory holds the parts needed for execution. Running out of either has different consequences, so the two should not be mixed up in specifications.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Blog editorial definition, based on general computing and PLC practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

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