diff --git a/docs/deployments/container/accessing-images.mdx b/docs/deployments/container/accessing-images.mdx
index 7dc5c2aa..fda15cae 100644
--- a/docs/deployments/container/accessing-images.mdx
+++ b/docs/deployments/container/accessing-images.mdx
@@ -64,6 +64,12 @@ See [how to run the Core Speech CPU container here.](/deployments/container/cpu-
 
 The Transcription GPU images are required to use the most accurate models.
 
+See [how to run the Transcription GPU container here.](/deployments/container/gpu-speech-to-text)
+
+:::info
+To access additional language configurations for containers, please [speak to our Support Team](https://support.speechmatics.com).
+:::
+
 ### Standard model
 
 There is a single image available that supports all languages for the Standard model. There are language specific images available that support the Enhanced and Standard models.
@@ -112,11 +118,16 @@ Depending on which Enhanced model languages are required, you can pull specific
   </CodeBlock>
 </details>
 
-See [how to run the Transcription GPU container here.](/deployments/container/gpu-speech-to-text)
+### Standard and Enhanced model
 
-:::info
-To access additional language configurations for containers, please [speak to our Support Team](https://support.speechmatics.com).
-:::
+A single image supports all languages for both the Standard and Enhanced models, so you do not need to pull individual language pack images. The `sm-gpu-inference-server-standard-all` image above covers all languages for the Standard model only.
+
+<CodeBlock language="bash">
+  {`# pulling the Transcription GPU inference server supporting all languages for both Enhanced and Standard models with the ${smVariables.latestContainerVersion} tag:
+docker pull speechmaticspublic.azurecr.io/sm-gpu-inference-server-all-lang:${smVariables.latestContainerVersion}`}
+</CodeBlock>
+
+This image contains both models. To load only one of them, see [Running only one model](/deployments/container/gpu-speech-to-text#running-only-one-model). To load only some of the image's languages, see [Loading only selected languages](/deployments/container/gpu-speech-to-text#loading-only-selected-languages).
 
 ### Melia 1 model
 
diff --git a/docs/deployments/container/gpu-speech-to-text.mdx b/docs/deployments/container/gpu-speech-to-text.mdx
index fc82ca0a..ccef0308 100644
--- a/docs/deployments/container/gpu-speech-to-text.mdx
+++ b/docs/deployments/container/gpu-speech-to-text.mdx
@@ -117,6 +117,21 @@ To save GPU memory for throughput, you can run the server with only one model lo
 When running the all language standard model GPU inference server you must set the `SM_MODEL` environment variable to `standard`
 :::
 
+### Loading only selected languages
+
+Images that contain more than one language model load every language at startup. To save GPU memory for throughput, pass the `SM_LANGUAGES` environment variable to the container and set it to a comma-separated list of language codes. Only those languages are loaded:
+
+```bash
+# load only English, German, and French
+-e SM_LANGUAGES=en,de,fr
+```
+
+Codes must be languages the image contains. Any code the image does not contain causes startup to fail with an error.
+
+When `SM_LANGUAGES` is unset, all of the image's languages are loaded. `SM_LANGUAGES` is available from container version 15.18.0.
+
+`SM_LANGUAGES` and `SM_MODEL` can be used together. For example, `SM_MODEL=standard` with `SM_LANGUAGES=en,de` loads the Standard model for English and German only.
+
 ### Monitoring the server
 
 The inference server is based on [Nvidia's Triton architecture](https://developer.nvidia.com/nvidia-triton-inference-server) and as such
diff --git a/docs/deployments/container/performance-and-cost.mdx b/docs/deployments/container/performance-and-cost.mdx
index b158c220..addd0525 100644
--- a/docs/deployments/container/performance-and-cost.mdx
+++ b/docs/deployments/container/performance-and-cost.mdx
@@ -27,6 +27,7 @@ The benchmark uses the following configuration:
 | Benchmark details |                                              |
 |-------------------|----------------------------------------------|
 | Version           | 15.7.0 (Standard, Enhanced), 1.3.0 (Melia-1) |
+| Language          | English only                                 |
 | CPU               | D16ds_v5                                     |
 | GPU Standard      | Standard_NC16as_T4_v3                        |
 | GPU Enhanced      | Standard_NC8as_T4_v3                         |
@@ -54,6 +55,7 @@ This benchmark uses the following configuration[^4]:
 | Benchmark details | Value                               |
 | ------------------| ----------------------------------- |
 | Version           | 13.4.0                              |
+| Language          | English only                        |
 | CPU               | D16ds_v5                            |
 | GPU Standard      | Standard_NC16as_T4_v3               |
 | GPU Enhanced      | Standard_NC8as_T4_v3                |
diff --git a/sm-variables.ts b/sm-variables.ts
index b6af3db1..1e520837 100644
--- a/sm-variables.ts
+++ b/sm-variables.ts
@@ -1,7 +1,7 @@
 export const smVariables = {
   jsonOutputVersion: "2.9",
   latestApplianceVersion: "6.3.0",
-  latestContainerVersion: "15.14.0",
+  latestContainerVersion: "15.18.0",
   latestMelia1ContainerVersion: "1.3.0",
   usageContainerVersion: "0.3.0",
   helmChartVersion: "1.4.0",