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SM_MODEL <-> SM_OPERATING_POINT for on prem docs #262

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SM_MODEL <-> SM_OPERATING_POINT for on prem docs #262

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12 changes: 7 additions & 5 deletions docs/deployments/container/gpu-speech-to-text.mdx
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Expand Up @@ -105,14 +105,16 @@ The server can only support one of these modes at once.

Once the GPU Server is running, follow the [Instructions for Linking a CPU Container](/deployments/container/cpu-speech-to-text#linking-to-a-gpu-inference-container).

### Running only one operating point
### Running only one model

[Operating Points](/speech-to-text/models) represent different levels of model complexity.
To save GPU memory for throughput, you can run the server with only one Operating Point loaded. To do this, pass the
`SM_OPERATING_POINT` environment variable to the container and set it to either `standard` or `enhanced`.
[Models](/speech-to-text/models) (previously called Operating Points) represent different levels of model complexity.
To save GPU memory for throughput, you can run the server with only one model loaded. To do this, pass the
`SM_MODEL` environment variable to the container and set it to either `standard` or `enhanced`.

`SM_MODEL` replaces the older `SM_OPERATING_POINT` environment variable. `SM_OPERATING_POINT` is deprecated but still works and accepts the same `standard` and `enhanced` values; use `SM_MODEL` going forward.

:::info
When running the all language standard Operating Point GPU inference server you must set the `SM_OPERATING_POINT` environment variable to `standard`
When running the all language standard model GPU inference server you must set the `SM_MODEL` environment variable to `standard`
:::

### Monitoring the server
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