diff --git a/docs/source/blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.md b/docs/source/blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.md
index 2a04fff901c3..f25701270bcf 100644
--- a/docs/source/blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.md
+++ b/docs/source/blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.md
@@ -232,7 +232,7 @@ We developed a custom Fuse_A_GEMM that prefetches the majority of its weights in
 <img src="../media/tech_blog1_fuse_a_gemm.png?raw=true" alt="tech_blog1_fuse_a_gemm" width="500" height="auto">
 
 ##### RouterGEMM
-By leveraging our internal AI code generator, we automatically generate an optimized RouterGEMM kernel, which delivers substantial improvements over the default GEMM implementation when [num_tokens <=30](https://github.com/NVIDIA/TensorRT-LLM/pull/4115/files#diff-006ae982200a5ef2b27f4aedb526025e64406d3c2fadde329ea745793fac04edR303:~:text=and%20hidden_states.-,size,-(0))
+By leveraging our internal AI code generator, we automatically generate an optimized RouterGEMM kernel, which delivers substantial improvements over the default GEMM implementation when num_tokens <=30.
 
 <img src="../media/tech_blog1_router_gemm.png?raw=true" alt="tech_blog1_router_gemm" width="500" height="auto">