diff --git a/docs/intro.mdx b/docs/intro.mdx
index 85340041a..b2db78b69 100644
--- a/docs/intro.mdx
+++ b/docs/intro.mdx
@@ -46,10 +46,10 @@ KServe eliminates the complexity of productionizing AI models. Whether you're a
| **LLM Multi-framework** | Deploy LLMs from Hugging Face, vLLM, and custom generative models |
| **OpenAI-Compatible APIs** | Chat completion, streaming, and embedding endpoints out of the box |
| **LocalModelCache** | Reduce LLM startup time from 15–20 minutes to ~1 minute |
-| **KV Cache Offloading** | Optimized memory management for long conversations and large contexts |
-| **Multi-node Inference** | Distributed LLM serving across multiple nodes |
+| **KV Cache Offloading** | Optimized memory management for long conversations and large contexts |
+| **Multi-node Inference** | Distributed LLM serving across multiple nodes |
| **Envoy AI Gateway** | Enterprise-grade API management and routing for AI workloads |
-| **Metric-based Autoscaling** | Scale on token throughput, queue depth, and GPU utilization |
+| **Metric-based Autoscaling** | Scale on token throughput, queue depth, and GPU utilization |
| **Canary Deployments** | A/B testing and canary rollouts for LLM experiments |
→ Full Generative AI docs
diff --git a/versioned_docs/version-0.18/intro.mdx b/versioned_docs/version-0.18/intro.mdx
index 85340041a..df5b5e580 100644
--- a/versioned_docs/version-0.18/intro.mdx
+++ b/versioned_docs/version-0.18/intro.mdx
@@ -46,10 +46,10 @@ KServe eliminates the complexity of productionizing AI models. Whether you're a
| **LLM Multi-framework** | Deploy LLMs from Hugging Face, vLLM, and custom generative models |
| **OpenAI-Compatible APIs** | Chat completion, streaming, and embedding endpoints out of the box |
| **LocalModelCache** | Reduce LLM startup time from 15–20 minutes to ~1 minute |
-| **KV Cache Offloading** | Optimized memory management for long conversations and large contexts |
-| **Multi-node Inference** | Distributed LLM serving across multiple nodes |
+| **KV Cache Offloading** | Optimized memory management for long conversations and large contexts |
+| **Multi-node Inference** | Distributed LLM serving across multiple nodes |
| **Envoy AI Gateway** | Enterprise-grade API management and routing for AI workloads |
-| **Metric-based Autoscaling** | Scale on token throughput, queue depth, and GPU utilization |
+| **Metric-based Autoscaling** | Scale on token throughput, queue depth, and GPU utilization |
| **Canary Deployments** | A/B testing and canary rollouts for LLM experiments |
→ Full Generative AI docs