feat(inference): add custom models requirements

Author: fpagny

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

@@ -0,0 +1,52 @@
+---
+meta:
+  title: Supported Models in Managed Inference
+  description: Supported Models in Managed Inference
+content:
+  h1: Supported Models in Managed Inference
+  paragraph: Supported Models in Managed Inference
+tags:
+dates:
+  validation: 2025-04-08
+  posted: 2025-04-08
+categories:
+  - ai-data
+---
+
+## Models supported on Managed Inference
+
+Managed Inference supports multiple AI models either from:
+- [Scaleway catalog]((#scaleway-catalog)): A curated model list available in [Scaleway Console](https://console.scaleway.com/inference/deployments/) or through [Managed Inference Models API](https://www.scaleway.com/en/developers/api/inference/#path-models-list-models)
+- [Custom models](#custom-models): Models imported by you as a user from sources such as HuggingFace.
+
+## Scaleway Catalog
+
+### Multimodal models (Chat and Vision)
+
+### Chat models
+
+| Provider | Model string | Documentation | License |
+|-----------------|-----------------|-----------------|-----------------|
+| Meta        | `llama-3.3-70b-instruct`  | [Details](https://www.scaleway.com/en/docs/managed-inference/reference-content/llama-3.3-70b-instruct/) | [Llama 3.3 Community](https://www.llama.com/llama3_3/license/) |
+| Meta        | `llama-3.1-8b-instruct`  | [Details](https://www.scaleway.com/en/docs/managed-inference/reference-content/llama-3.1-8b-instruct/) | [HF](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) |
+
+### Vision models
+
+### Embedding models
+
+## Custom models
+
+<Message type="note">
+  Custom models are still in Beta status. If you identify unsupported models, you can report the issue to us through our [Slack Community Channel](https://scaleway-community.slack.com/archives/C01SGLGRLEA) or our [customer support](https://console.scaleway.com/support/tickets/create?for=product&productName=inference).
+</Message>
+
+### Prerequesites
+
+To deploy a model by providing its URL on Hugging Face, you need to:
+- Have access to this model with your Hugging Face credentials (if the model is "Gated", you specifically need to ask access from your Hugging Face account). Note that your Hugging Face credentials will not be stored, but we still recommend you to create [read or fine-grained access tokens](https://huggingface.co/docs/hub/security-tokens) for this purpose. 
+
+### Additional consideration
+
+- When deploying custom models, you remain responsible for complying with any License requirements from the model provider.
+- We currently 
+