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Co-authored-by: Jessica <[email protected]>

Author: bene2k1

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

@@ -1,9 +1,9 @@
 ---
 meta:
-  title: Choosing bewteen shared or dedicated vCPUs
+  title: Choosing between shared or dedicated vCPUs
   description: Find out how to choose between shared or dedicated vCPUs depending on your workloads.
 content:
-  h1: Choosing bewteen shared or dedicated vCPUs
+  h1: Choosing between shared or dedicated vCPUs
   paragraph: Find out how to choose between shared or dedicated vCPUs depending on your workloads.
 categories:
   - compute
@@ -37,7 +37,7 @@ Shared vCPU Instances, including [Learning](/instances/reference-content/learnin
 This means multiple virtual CPU cores are allocated to these Instances, but the physical CPU cores available on the hypervisors' hardware are shared among them.
 As a result, Instances share physical CPU time, and during peak demand from other Instances on the same host, your workloads might temporarily slow down due to CPU contention (also known as "CPU steal").
 
-### Typical use cases include
+### Typical use cases
 - Development and staging environments
 - Low to medium-traffic websites
 - Personal blogs and forums
@@ -55,7 +55,7 @@ As a result, Instances share physical CPU time, and during peak demand from othe
 Dedicated vCPU Instances, including [Production-Optimized](/instances/reference-content/production-optimized/) and [Workload-Optimized](/instances/reference-content/workload-optimized/), provide exclusive access to physical CPU cores.
 This ensures consistent and predictable performance at all times. Dedicated vCPU Instances are perfect for applications that require high CPU utilization and low latency.
 
-### Typical use cases include
+### Typical use cases
 - Production applications with high CPU demands
 - eCommerce platforms and business-critical services
 - Game servers requiring low latency