feat(infr): add list of known working custom models

Author: fpagny

pages/managed-inference/reference-content/supported-models.mdx

@@ -34,6 +34,7 @@ You can find a complete list of all models available in Scaleway's catalog on th
   We recommend starting with a variation of a supported model from the Scaleway catalog.
   For example, you can deploy a [quantized (4-bit) version of Llama 3.3](https:/huggingface.co/unsloth/Llama-3.3-70B-Instruct-bnb-4bit).
   If deploying a fine-tuned version of Llama 3.3, make sure your file structure matches the example linked above.
+  Examples whose compatibility has been tested are available in [tested models](#known-compatible-models). 
 </Message>
 
 To deploy a custom model via Hugging Face, ensure the following:
@@ -232,4 +233,17 @@ Custom models must conform to one of the architectures listed below. Click to ex
   * `EAGLEModel`
   * `MedusaModel`
   * `MLPSpeculatorPreTrainedModel`
-</Concept>
+</Concept>
+
+## Known compatible models
+
+Several models have already been verified to work on Managed Inference Custom models. This list is not exhaustive and is updated gradually. Click to expand full list.
+
+<Concept>
+  ## Models verified for compatibility
+  The following model compatibility has been verified:
+  * `ibm-granite/granite-vision-3.2-2b`
+  * `ibm-granite/granite-3.3-2b-instruct`
+  * `microsoft/phi-4`
+  * `Qwen/Qwen3-32B`
+</Concept>