docs(ins): update docs

Author: bene2k1

pages/instances/reference-content/choosing-instance-type.mdx

@@ -72,7 +72,7 @@ Refer to the tabs below to compare the different Instance ranges and learn more
 
     Development Instances provide a cost-efficient yet powerful compute platform suitable for both development and light production use. Equipped with shared AMD EPYC™ vCPUs and ranging from 2 GiB to 128 GiB of RAM, they cater to a wide array of workloads with solid performance.
 
-    Learn more about [Development Instances](/instances/reference-content/general-purpose/)
+    Learn more about [Development Instances](/instances/reference-content/development/)
 
 </TabsTab>
   <TabsTab label="General Purpose Instances">
@@ -87,7 +87,7 @@ Refer to the tabs below to compare the different Instance ranges and learn more
 
     General Purpose Instances provide high performance, security, and scalability, enabling organizations to efficiently manage high-traffic applications and build resilient architectures. Features like CPU pinning ensure optimized performance and reliability for your production workloads.
 
-    Learn more about [General Purpose Instances](/instances/reference-content/gp-standard/)
+    Learn more about [General Purpose Instances](/instances/reference-content/general-purpose/)
   </TabsTab>
   <TabsTab label="Specialized Instances">
     Scaleway Specialized Instances are designed to handle specific types of workloads efficiently, meeting the demands of applications that require high CPU or memory resources. These Instances are ideal for running compute-intensive or memory-intensive applications such as data analytics, high-performance databases, and machine learning inference.

pages/instances/reference-content/development.mdx

@@ -9,7 +9,7 @@ tags: instance type stardust range development use-case
 
 An Instance is a virtual machine in the cloud. Scaleway supports several [types of Instances](/instances/reference-content/choosing-instance-type/), each with their own set of resources, unique value propositions, and technical specifications. Each Instance supports the essential operating systems and distributions, as well as customized [Instantapps](/instances/concepts/#instantapp).
 
-## Development Instances and General Purpose Instances
+## Development Instances
 
 Scaleway's **Development** range includes DEV1 and GP1 Instances. These Instances provide a balance of compute, memory, and networking resources, and can be used for a wide range of workloads. For example, they are ideally suited for scaling a development and testing environment, but also Content Management Systems (CMS) or microservices. They are also a good default choice if you are not sure which Instance type is best for your application.
 

pages/instances/reference-content/general-purpose.mdx

@@ -16,7 +16,7 @@ An Instance is a virtual machine in the cloud. Scaleway supports several [types
   POP2 Instances are recommended for general workloads, unless your workload specifically needs features unique to ENT1 Instances.
 </Message>
 
-## General Purpose range: ENT1 Instances
+# ENT1 Instances
 
 Scaleway's **General Purpose** range includes Enterprise Instances (ENT1). ENT1 Instances are high-end, dedicated cloud Instances for demanding workloads. They offer the highest consistent performance per core to support real-time applications. In addition, their computing power makes them generally more robust for compute-intensive workloads.
 
@@ -36,7 +36,7 @@ See below the technical specifications of Enterprise Instances:
 | Sizing   	                      | From 2 to 96 vCPUs  <br /> From 8 GiB to 384 GiB RAM                          |
 | vCPU:RAM ratio                  | 1:4                                                                           |
 
-## General Purpose range: POP2 Instances
+## POP2 Instances
 
 Scaleway's **General Purpose** range includes POP2 Instances. POP2 Instances are high-end, dedicated cloud Instances for demanding workloads. They offer the highest consistent performance per core to support real-time applications. In addition, their computing power makes them generally more robust for compute-intensive workloads.