diff --git a/README.md b/README.md
index e61335f2..efe47872 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,6 @@ and improves code composability and readability. More documentation specific to
 
 In addition to GEMMs, CUTLASS implements high-performance convolution via the implicit GEMM algorithm. Implicit GEMM is the formulation of a convolution operation as a GEMM thereby taking advantage of CUTLASS's modular GEMM pipeline. This allows CUTLASS to build convolutions by reusing highly-optimized GEMM components.
 
-
 # What's New in CUTLASS 3.6
 
 CUTLASS 3.6.0 is an update to CUTLASS adding:
diff --git a/media/docs/quickstart.md b/media/docs/quickstart.md
index 7faad445..97ed6a63 100644
--- a/media/docs/quickstart.md
+++ b/media/docs/quickstart.md
@@ -179,11 +179,13 @@ $ make test_unit_gemm_warp -j
 To minimize compilation time, specific GPU architectures can be enabled via the CMake command,
 selected by [CUDA Compute Capability.](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities)
 
-**NVIDIA Ampere Architecture.**
+**NVIDIA Hopper Architecture.**
 ```bash
 $ cmake .. -DCUTLASS_NVCC_ARCHS=90a              # compiles for NVIDIA Hopper GPU architecture
 ```
 
+**NVIDIA Ampere Architecture.**
+
 ```bash
 $ cmake .. -DCUTLASS_NVCC_ARCHS=80               # compiles for NVIDIA Ampere GPU architecture
 ```