fix(inf): add beta info re node number

Author: RoRoJ

pages/managed-inference/concepts.mdx

@@ -71,6 +71,10 @@ LLMs are advanced artificial intelligence systems capable of understanding and g
 These models, such as Llama-3, are trained on vast amounts of data to learn the patterns and structures of language, enabling them to generate coherent and contextually relevant responses to queries or prompts.
 LLMs have applications in natural language processing, text generation, translation, and other tasks requiring sophisticated language understanding and production.
 
+## Node number
+
+The node number (or node count) defines the number of nodes, or Instances, that are running your Managed Inference deployment. [Increasing the node number](/managed-inference/how-to/configure-autoscaling/) scales your deployment, so that it can handle more load.
+
 ## Prompt
 
 In the context of generative AI models, a prompt refers to the input provided to the model to generate a desired response.

pages/managed-inference/how-to/configure-autoscaling.mdx

@@ -15,6 +15,10 @@ categories:
 
 You can scale your Managed Inference deployment up or down to match it to the incoming load of your deployment.
 
+<Message type="important">
+This feature is currently in [Public Beta](https://www.scaleway.com/betas/).
+</Message>
+
 <Macro id="requirements" />
 
   - A Scaleway account logged into the [console](https://console.scaleway.com)

pages/managed-inference/how-to/create-deployment.mdx

@@ -28,7 +28,7 @@ dates:
         </Message>
     - Choose the geographical **region** for the deployment.
     - Specify the GPU Instance type to be used with your deployment.
-4. Choose the number of nodes for your deployment.
+4. Choose the number of nodes for your deployment. Note that this feature is currently in [Public Beta](https://www.scaleway.com/betas/).
     <Message type="note">
       High availability is only guaranteed with two or more nodes.
     </Message>

pages/managed-inference/quickstart.mdx

@@ -43,6 +43,7 @@ Here are some of the key features of Scaleway Managed Inference:
         </Message>
     - Choose the geographical **region** for the deployment.
     - Specify the GPU Instance type to be used with your deployment.
+    - Choose the number of nodes for your deployment. Note that this feature is currently in [Public Beta](https://www.scaleway.com/betas/).
 4. Enter a **name** for the deployment, along with optional tags to aid in organization.
 5. Configure the **network** settings for the deployment:
     - Enable **Private Network** for secure communication and restricted availability within Private Networks. Choose an existing Private Network from the drop-down list, or create a new one.