md

docs/INSTALL_WINDOWS.md

@@ -111,10 +111,10 @@ with `'Qwen3_5MoeConfig' object has no attribute 'vocab_size'`). If you install
 into an existing conda/miniforge env instead of a fresh venv, run
 `pip install -U transformers` there. The startup warning about
 `flash-linear-attention` / `causal-conv1d` ("fast path is not available") is
-harmless on CPU — those are optional CUDA-only kernels.
+harmless on CPU — those are optional GPU kernels.
 
-If you run the node from native Windows instead of WSL2, install the Triton shim
-in the same environment:
+If you run the node from native Windows instead of WSL2, install Triton for
+Windows in the same environment:
 
 ```powershell
 python -m pip install triton-windows
@@ -123,6 +123,12 @@ python -m pip install triton-windows
 Without it, Qwen3.5/3.6-MoE startup can fail with the misleading message
 `Could not import module 'Qwen3_5MoeForCausalLM'`.
 
+**NVIDIA GPU on native Windows:** the CUDA fast path works — after
+`triton-windows`, install FLA with plain `pip install flash-linear-attention`
+(no `[cuda]` extra, no `causal-conv1d`; both are Linux-only packaging and fail
+on Windows). No CUDA toolkit / `nvcc` is needed. See the platform table in
+[QUICKSTART.md](../QUICKSTART.md#qwen3536-moe-notes) for details.
+
 ---
 
 ## Step 6 — Pre-download the model shard