From f7f3262457378163b557d6a211da25d29f338544 Mon Sep 17 00:00:00 2001
From: Hemant Jain <hemantj@nvidia.com>
Date: Tue, 12 Apr 2022 10:52:10 -0700
Subject: [PATCH] Update build docs for --image,gpu-base (#4209)

---
 docs/build.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/docs/build.md b/docs/build.md
index e5e66c7b2e..3c4adcb64f 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -131,6 +131,11 @@ To include the TensorFlow2 backend in your CPU-only build, you must
 provide this additional flag to build.py:
 `--extra-backend-cmake-arg=tensorflow2:TRITON_TENSORFLOW_INSTALL_EXTRA_DEPS=ON`.
 
+When building without GPU support, you must use the `--image=gpu-base,nvcr.io/nvidia/tritonserver:<xx.yy>-py3-min`
+flag. This is needed since the CPU-only builds of the TensorFlow and
+PyTorch backends require some CUDA stubs and runtime dependencies that are
+not present in the CPU-only base container.
+
 ### <a name="ubuntu-without-docker"></a>Building without Docker
 
 To build Triton without using Docker you must install the build