docs(ins): update shared / dedicated vcpu doc

Author: bene2k1

pages/instances/reference-content/choosing-shared-vs-dedicated-cpus.mdx

@@ -45,20 +45,20 @@ While physical CPU threads are shared between Instances, vCPUs are dedicated to
 
 ### Typical use cases
 
-- Development and staging environments  
-- Small and non-critical production environments  
-- Low to medium-traffic websites  
-- Personal blogs and forums  
-- Applications tolerant to occasional performance variability  
-- Worker nodes in container orchestration clusters such as Kubernetes  
-- Experimental or proof-of-concept projects  
-- Small-scale applications with limited traffic  
+- Development and staging environments
+- Small and non-critical production environments
+- Low to medium-traffic websites
+- Personal blogs and forums
+- Applications tolerant to occasional performance variability
+- Worker nodes in container orchestration clusters such as Kubernetes
+- Experimental or proof-of-concept projects
+- Small-scale applications with limited traffic
 
 ### Summary
 
-- Shared vCPU Instances provide an affordable solution for non-critical workloads.  
-- CPU performance is less predictable and may fluctuate depending on neighboring workloads ("noisy neighbors").  
-- During peak usage, your workloads might experience temporary slowdowns due to CPU steal.  
+- Shared vCPU Instances provide an affordable solution for non-critical workloads.
+- CPU performance is less predictable and may fluctuate depending on neighboring workloads ("noisy neighbors").
+- During peak usage, your workloads might experience temporary slowdowns due to CPU steal.
 
 ## Dedicated vCPU Instances
 
@@ -68,30 +68,30 @@ This ensures consistent and predictable performance at all times. Dedicated vCPU
 
 ### Typical use cases
 
-- Production applications with high CPU demands  
-- eCommerce platforms and business-critical services  
-- Game servers requiring low latency  
-- CI/CD pipelines  
-- Audio and video transcoding  
-- Machine learning and scientific computing  
-- Real-time data processing and analytics  
-- High-traffic websites and applications  
+- Production applications with high CPU demands
+- eCommerce platforms and business-critical services
+- Game servers requiring low latency
+- CI/CD pipelines
+- Audio and video transcoding
+- Machine learning and scientific computing
+- Real-time data processing and analytics
+- High-traffic websites and applications
 
 ### Summary
 
-- Dedicated vCPU allocation ensures consistent and predictable performance.  
-- No risk of performance degradation due to neighboring workloads.  
-- Dedicated vCPU Instances are more expensive than shared vCPU Instances but offer guaranteed CPU performance.  
+- Dedicated vCPU allocation ensures consistent and predictable performance.
+- No risk of performance degradation due to neighboring workloads.
+- Dedicated vCPU Instances are more expensive than shared vCPU Instances but offer guaranteed CPU performance.
 
 ## Choosing the best configuration
 
-Choose **shared vCPU** Instances if:  
-- You are running non-critical or experimental workloads  
-- Budget is a priority over performance consistency  
+Choose **shared vCPU** Instances if:
+- You are running non-critical or experimental workloads
+- Budget is a priority over performance consistency
 
-Choose **dedicated vCPU** Instances if:  
-- Your application requires stable, predictable CPU performance  
-- You are in a production environment with strict performance requirements  
+Choose **dedicated vCPU** Instances if:
+- Your application requires stable, predictable CPU performance
+- You are in a production environment with strict performance requirements
 
 Consider your needs and workload requirements to choose the best vCPU provisioning option for your Scaleway Instance.