diff --git a/ports/cudnn/portfile.cmake b/ports/cudnn/portfile.cmake
index 768ef39aa8b24b..9d46eef8454214 100644
--- a/ports/cudnn/portfile.cmake
+++ b/ports/cudnn/portfile.cmake
@@ -9,15 +9,15 @@ endif()
 vcpkg_check_linkage(ONLY_DYNAMIC_LIBRARY ONLY_DYNAMIC_CRT)
 set(VCPKG_POLICY_MISMATCHED_NUMBER_OF_BINARIES enabled) # only release bits are provided
 
-#note: this port must be kept in sync with CUDA port: every time one is upgraded, the other must be too
+# note: this port must be kept in sync with CUDA port: every time one is upgraded, the other must be too
+# Minimum version to find -- should match the CUDA port's minimum version's corresponding NCCL version
 set(CUDNN_VERSION "7.6.0")
-set(CUDNN_FULL_VERSION "${CUDNN_VERSION}-cuda10.1_0")
 string(REPLACE "." ";" VERSION_LIST ${CUDNN_VERSION})
 list(GET VERSION_LIST 0 CUDNN_VERSION_MAJOR)
 list(GET VERSION_LIST 1 CUDNN_VERSION_MINOR)
 list(GET VERSION_LIST 2 CUDNN_VERSION_PATCH)
 
-# Try to find CUDNN if it exists; only download if it doesn't exist
+# Try to find CUDNN if it exists
 find_path(CUDNN_INCLUDE_DIR cudnn.h
   HINTS ${CUDA_HOME} ${CUDA_TOOLKIT_ROOT_DIR} $ENV{cudnn} $ENV{CUDNN} $ENV{CUDNN_ROOT_DIR}
   PATH_SUFFIXES cuda/include include)
@@ -56,47 +56,11 @@ else()
   set(CUDNN_FOUND FALSE)
 endif()
 
-# Download CUDNN if not found
 if (CUDNN_FOUND)
   message(STATUS "Found CUDNN located on system: (include ${CUDNN_INCLUDE_DIR} lib: ${CUDNN_LIBRARY})")
   set(VCPKG_POLICY_EMPTY_PACKAGE enabled)
 else()
-  message(STATUS "CUDNN not found on system - downloading...")
-  if(VCPKG_TARGET_IS_WINDOWS)
-    set(CUDNN_DOWNLOAD_LINK "https://anaconda.org/anaconda/cudnn/${CUDNN_VERSION}/download/win-64/cudnn-${CUDNN_FULL_VERSION}.tar.bz2")
-    set(SHA512_CUDNN "c0218407e7bc2b3c1497f1709dedee345bc619603ec0efa094e392888c0d513d645a1241501f9b406f688defa811578f36b49f456eb533535ecd526702156eea")
-    set(CUDNN_OS "windows")
-  elseif(VCPKG_TARGET_IS_LINUX)
-    set(CUDNN_DOWNLOAD_LINK "https://anaconda.org/anaconda/cudnn/${CUDNN_VERSION}/download/linux-64/cudnn-${CUDNN_FULL_VERSION}.tar.bz2")
-    set(SHA512_CUDNN "128ccdc0ec24a1133947d7a8eff6cd8edc224134fa5065a11a1a01a99dbaee7d799db1454e0a59e411cf6db244f8c2420c160488a5dd4830addc3578b2011e3d")
-    set(CUDNN_OS "linux")
-  endif()
-
-  vcpkg_download_distfile(ARCHIVE
-      URLS ${CUDNN_DOWNLOAD_LINK}
-      FILENAME "cudnn-${CUDNN_FULL_VERSION}-${CUDNN_OS}.tar.bz2"
-      SHA512 ${SHA512_CUDNN}
-  )
-
-  vcpkg_extract_source_archive_ex(
-      OUT_SOURCE_PATH SOURCE_PATH
-      ARCHIVE ${ARCHIVE}
-      NO_REMOVE_ONE_LEVEL
-  )
-
-  if(VCPKG_TARGET_IS_WINDOWS)
-    file(INSTALL "${SOURCE_PATH}/Library/include/cudnn.h" DESTINATION ${CURRENT_PACKAGES_DIR}/include)
-    file(INSTALL "${SOURCE_PATH}/Library/lib/x64/cudnn.lib" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-    file(INSTALL "${SOURCE_PATH}/Library/bin/cudnn64_${CUDNN_VERSION_MAJOR}.dll" DESTINATION ${CURRENT_PACKAGES_DIR}/bin)
-  elseif(VCPKG_TARGET_IS_LINUX)
-    file(INSTALL "${SOURCE_PATH}/include/cudnn.h" DESTINATION ${CURRENT_PACKAGES_DIR}/include)
-    file(INSTALL "${SOURCE_PATH}/lib/libcudnn.so.${CUDNN_VERSION}" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-    file(INSTALL "${SOURCE_PATH}/lib/libcudnn.so.${CUDNN_VERSION_MAJOR}" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-    file(INSTALL "${SOURCE_PATH}/lib/libcudnn.so" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-  endif()
-
-  file(INSTALL "${SOURCE_PATH}/info/LICENSE.txt" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT} RENAME copyright)
-  file(INSTALL "${CMAKE_CURRENT_LIST_DIR}/FindCUDNN.cmake" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})
-  file(INSTALL "${CMAKE_CURRENT_LIST_DIR}/vcpkg-cmake-wrapper.cmake" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})
-
-endif() # NOT CUDNN_FOUND
+  message(FATAL_ERROR "Could not find cuDNN. Before continuing, please download and install a cuDNN version "
+    "\nthat matches your CUDA version from:"
+    "\n    https://developer.nvidia.com/cuDNN\n")
+endif()
diff --git a/ports/nccl/portfile.cmake b/ports/nccl/portfile.cmake
index ecdacc23507f3a..69388d9f599154 100644
--- a/ports/nccl/portfile.cmake
+++ b/ports/nccl/portfile.cmake
@@ -1,55 +1,27 @@
 vcpkg_fail_port_install(ON_TARGET "Windows" "OSX" ON_ARCH "x86" "arm")
 
 # note: this port must be kept in sync with CUDA port: every time one is upgraded, the other must be too
+# Minimum version to find -- should match the CUDA port's minimum version's corresponding cuDNN version
 set(NCCL_VERSION "2.4.6.1")
-set(NCCL_FULL_VERSION "${NCCL_VERSION}-cuda10.1_0")
 string(REPLACE "." ";" VERSION_LIST ${NCCL_VERSION})
 list(GET VERSION_LIST 0 NCCL_VERSION_MAJOR)
 list(GET VERSION_LIST 1 NCCL_VERSION_MINOR)
 list(GET VERSION_LIST 2 NCCL_VERSION_PATCH)
 
-set(NCCL_DOWNLOAD_LINK "https://anaconda.org/nvidia/nccl/${NCCL_VERSION}/download/linux-64/nccl-${NCCL_FULL_VERSION}.tar.bz2")
-
-# Try to find NCCL if it exists; only download if it doesn't exist
+# Try to find NCCL if it exists
 set(NCCL_PREV_MODULE_PATH ${CMAKE_MODULE_PATH})
 list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_LIST_DIR})
 find_package(NCCL ${NCCL_VERSION})
 set(CMAKE_MODULE_PATH ${NCCL_PREV_MODULE_PATH})
 
-# Download or return
+# Download only if the CUDA version is exactly 10.1 (which matches the vcpkg CUDA port required version), else fail
 if(NCCL_FOUND)
   message(STATUS "Using NCCL located on system.")
   set(VCPKG_POLICY_EMPTY_PACKAGE enabled)
 else()
-  message(STATUS "NCCL not found on system. Downloading...")
-  vcpkg_check_linkage(ONLY_DYNAMIC_LIBRARY ONLY_DYNAMIC_CRT)
-
-  set(SHA512_NCCL "0fe69ad559f70aab97c78906296e2b909b4a9c042a228a2770252b3d03016c7c39acce3c0e0bd0ba651abd63471743dcffdfec307c486989c6e5745634aabde1")
-  set(NCCL_OS "linux")
-
-  vcpkg_download_distfile(ARCHIVE
-      URLS ${NCCL_DOWNLOAD_LINK}
-      FILENAME "nccl-${NCCL_FULL_VERSION}-${NCCL_OS}.tar.bz2"
-      SHA512 ${SHA512_NCCL}
-  )
-
-  vcpkg_extract_source_archive_ex(
-      OUT_SOURCE_PATH SOURCE_PATH
-      ARCHIVE ${ARCHIVE}
-      NO_REMOVE_ONE_LEVEL
-  )
-
-  file(INSTALL "${SOURCE_PATH}/include/nccl.h" DESTINATION ${CURRENT_PACKAGES_DIR}/include)
-  file(INSTALL "${SOURCE_PATH}/include/nccl_net.h" DESTINATION ${CURRENT_PACKAGES_DIR}/include)
-
-  file(INSTALL "${SOURCE_PATH}/lib/libnccl.so" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-  file(INSTALL "${SOURCE_PATH}/lib/libnccl.so.${NCCL_VERSION_MAJOR}" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-  file(INSTALL "${SOURCE_PATH}/lib/libnccl.so.${NCCL_VERSION_MAJOR}.${NCCL_VERSION_MINOR}.${NCCL_VERSION_PATCH}" DESTINATION ${CURRENT_PACKAGES_DIR}/lib)
-
-  file(INSTALL "${SOURCE_PATH}/info/licenses/LICENSE.txt" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT} RENAME copyright)
-  file(INSTALL "${CMAKE_CURRENT_LIST_DIR}/FindNCCL.cmake" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})
-  file(INSTALL "${CMAKE_CURRENT_LIST_DIR}/vcpkg-cmake-wrapper.cmake" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})
-
+  message(FATAL_ERROR "Could not find NCCL. Before continuing, please download and install a NCCL version "
+    "\nthat matches your CUDA version from:"
+    "\n    https://developer.nvidia.com/nccl\n")
 endif()
 
 file(INSTALL "${CURRENT_PORT_DIR}/usage" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})