diff --git a/docs/nd_parallelism.qmd b/docs/nd_parallelism.qmd
index 8aebab140..9b3eae890 100644
--- a/docs/nd_parallelism.qmd
+++ b/docs/nd_parallelism.qmd
@@ -97,7 +97,7 @@ This matrix describes how different parallelism methods can be combined in Axolo
 | **HSDP + TP** | >1 | >1 | >1 | 1 | ✅ **3D Parallelism**. A powerful but complex combination. |
 | **FSDP + CP** | 1 | >1 | 1 | >1 | ✅ **2D Parallelism**. Combines FSDP with context parallelism. |
 | **FSDP + TP + CP**| 1 | >1 | >1| >1| ✅ **3D Parallelism**. Another advanced combination. |
-| DDP + TP/CP | >1 | 1 | >1 | >1 | ❌ **Not Supported**. The `ParallelismConfig` explicitly prevents this, as composing pure DDP with TP/CP without FSDP is inefficient and complex. You should use FSDP instead (`dp_shard_size > 1`). |
+| DDP + TP/CP | >1 | 1 | >1 | >1 | ❌ **Not Supported**. The `ParallelismConfig` explicitly prevents this, as composing pure DDP with TP or CP is currently not supported. You should use FSDP + TP/CP instead (`dp_shard_size > 1`). |
 | Just TP / CP | 1 | 1 | >1 | >1 | ✅ Supported. Useful for inference or when the model fits on one GPU but context is too long. |
 
 - `tp_size` refers to `tensor_parallel_size`