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# Recommended Hardware Specifications

HPE recommends that you have no more than one HPE IDOL Speech Server for each machine, and that you use the following machine specifications:

- 2 GHz single or multicore processor, 64 bit
- 150 MB disk space for software installation, plus space for each language pack (the size of each language pack can vary from 12 MB to 450 MB)

- Memory requirements depend on the number of language packs, the number of simultaneous decode tasks, and the operating system.

  - 600 MB for each language pack (shared across multiple channels).

  - 200 MB for each input.

HPE recommends that you assign each speech-to-text task to a single, 2 GHz core.

## Memory Requirements

HPE IDOL Speech Server has the following memory requirements:

- Each language pack requires approximately 500 MB of RAM to load.

  Note: Broadband and telephony versions of the same language pack count as separate language packs internally. Similarly, if you load the same language pack without a DNN, with a small DNN (for example, for real-time processing), and with the standard DNN, this counts as three separate language packs.

- Each HPE IDOL Speech Server task requires additional memory. HPE recommends the following approximate values. (If you run multiple tasks simultaneously, the amount of memory that is required increases; for example, to run two concurrent tasks that each use 250 MB of memory, 500 MB of memory is required.)

  Task type | Memory
  --- | ---
  Speech-to-text | 150 MB1Stereo speech-to-text uses two stt modules and therefore uses twice the memory of a standard speech-to-text task.
  Language model building | 300 MB2If the training texts contain unusually large vocabularies, the language model building tasks might require more memory.
  Acoustic model adaptation | 750 MB
  Speaker identification | 100 MB
  Transcript alignment | 250 MB
  Language identification | 250 MB
  Language identification training | 300 MB
  Language identification optimization | 10 MB

To ensure smooth operation, the `speechserver.cfg` configuration file allows you to limit the number of concurrent actions on the server. You must also be careful when you set the maximum number of language models that the server can load.

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