diff --git a/T/TensorRT/build_cuda+11.jl b/T/TensorRT/TensorRT@10/build_cuda+11.jl
similarity index 100%
rename from T/TensorRT/build_cuda+11.jl
rename to T/TensorRT/TensorRT@10/build_cuda+11.jl
diff --git a/T/TensorRT/build_cuda+12.jl b/T/TensorRT/TensorRT@10/build_cuda+12.jl
similarity index 100%
rename from T/TensorRT/build_cuda+12.jl
rename to T/TensorRT/TensorRT@10/build_cuda+12.jl
diff --git a/T/TensorRT/build_tarballs.jl b/T/TensorRT/TensorRT@10/build_tarballs.jl
similarity index 98%
rename from T/TensorRT/build_tarballs.jl
rename to T/TensorRT/TensorRT@10/build_tarballs.jl
index 626b138d124..431229d0865 100644
--- a/T/TensorRT/build_tarballs.jl
+++ b/T/TensorRT/TensorRT@10/build_tarballs.jl
@@ -1,7 +1,7 @@
 using BinaryBuilder, Pkg
 using Base.BinaryPlatforms: arch, os
 
-const YGGDRASIL_DIR = "../.."
+const YGGDRASIL_DIR = "../../.."
 include(joinpath(YGGDRASIL_DIR, "fancy_toys.jl"))
 include(joinpath(YGGDRASIL_DIR, "platforms", "cuda.jl"))
 
diff --git a/T/TensorRT/TensorRT@8/build_cuda+10.jl b/T/TensorRT/TensorRT@8/build_cuda+10.jl
new file mode 100644
index 00000000000..73e4517f8cc
--- /dev/null
+++ b/T/TensorRT/TensorRT@8/build_cuda+10.jl
@@ -0,0 +1,19 @@
+platforms_and_sources = Dict(
+    Platform("x86_64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.1/tars/TensorRT-8.2.1.8.Linux.x86_64-gnu.cuda-10.2.cudnn8.2.tar.gz",
+                      "96160493b88526f4eb136b29399c3c8bb2ef5e2dd4f8325a44104add10edd35b")],
+    Platform("aarch64", "linux") => [
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvinfer-bin_8.2.1-1+cuda10.2_arm64.deb", "b03b5ca8e9b0df42d97255cea501cab44e982f9eb5e795e8bd8cab70a1debd85"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvinfer-dev_8.2.1-1+cuda10.2_arm64.deb", "54c79348f364731d90aa857597185d73067864e208fb24a8fb7675405661c6d6"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvinfer-plugin-dev_8.2.1-1+cuda10.2_arm64.deb", "e357606f5884608cbb07a0dfe64c48490746e90e6eaf91bbed2324623e368b7c"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvinfer-plugin8_8.2.1-1+cuda10.2_arm64.deb", "ea0bcf03218d1c22fdb563f3db45e00829234712f05ce71866c9486bc1dcadaf"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvinfer8_8.2.1-1+cuda10.2_arm64.deb", "af79b941988fff6daec89a663fd5bc12541df8c568e4e0c66c4e1991ec4c923c"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvonnxparsers-dev_8.2.1-1+cuda10.2_arm64.deb", "e50047d41ceb8341bdaa67f9df3e365257d80b520ba68af340b18ec8a238366b"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvonnxparsers8_8.2.1-1+cuda10.2_arm64.deb", "d7c27711b73e4cc3febb21969d21a84cd92e21a7863da75d0a72b50ea2c12833"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvparsers-dev_8.2.1-1+cuda10.2_arm64.deb", "816c0f9daa031be52e873907662c26d8d58e29cc2603a5d7ba1e60a0d76d00fd"),
+        FileSource("https://repo.download.nvidia.com/jetson/common/pool/main/t/tensorrt/libnvparsers8_8.2.1-1+cuda10.2_arm64.deb", "f2ab966c85b6e8a36098a6bc05e0ac478bd1cc9d966373223c0ec56dc73d302b"),
+    ],
+    Platform("x86_64", "windows") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.1/zip/TensorRT-8.2.1.8.Windows10.x86_64.cuda-10.2.cudnn8.2.zip",
+                      "d00f9d6f0d75d572f4b5a0041408650138f4f3aac76902cbfd1580448f75ee47")],
+)
diff --git a/T/TensorRT/TensorRT@8/build_cuda+11.jl b/T/TensorRT/TensorRT@8/build_cuda+11.jl
new file mode 100644
index 00000000000..5b6d9ac2ef5
--- /dev/null
+++ b/T/TensorRT/TensorRT@8/build_cuda+11.jl
@@ -0,0 +1,11 @@
+platforms_and_sources = Dict(
+    Platform("x86_64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.1/tars/TensorRT-8.2.1.8.Linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz",
+                      "3e9a9cc4ad0e5ae637317d924dcddf66381f4db04e2571f0f2e6ed5a2a51f247")],
+    Platform("aarch64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.1/tars/TensorRT-8.2.1.8.Ubuntu-20.04.aarch64-gnu.cuda-11.4.cudnn8.2.tar.gz",
+                      "7c21312bf552904339d5f9270dc40c39321558e5993d93e4f94a0ed47d9a8a79")],
+    Platform("x86_64", "windows") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.1/zip/TensorRT-8.2.1.8.Windows10.x86_64.cuda-11.4.cudnn8.2.zip",
+                      "a900840f3839ae14fbd9dc837eb6335d3cb4f217f1f29604ef72fa88e8994bcd")],
+)
diff --git a/T/TensorRT/TensorRT@8/build_tarballs.jl b/T/TensorRT/TensorRT@8/build_tarballs.jl
new file mode 100644
index 00000000000..711dbf8e118
--- /dev/null
+++ b/T/TensorRT/TensorRT@8/build_tarballs.jl
@@ -0,0 +1,86 @@
+using BinaryBuilder, Pkg
+using Base.BinaryPlatforms: arch, os
+
+const YGGDRASIL_DIR = "../../.."
+include(joinpath(YGGDRASIL_DIR, "fancy_toys.jl"))
+include(joinpath(YGGDRASIL_DIR, "platforms", "cuda.jl"))
+
+name = "TensorRT"
+version = v"8.2.1"
+
+cuda_versions = [
+    v"10.2",
+    v"11",
+]
+
+# Cf. https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-825/support-matrix/index.html
+cudnn_version = v"8.2.1"
+
+script = raw"""
+mkdir -p $bindir $includedir $libdir
+cd ${WORKSPACE}/srcdir
+
+if [[ ${bb_full_target} == aarch64-linux-gnu*cuda+10.2 ]]; then
+    apk add dpkg
+    ls *.deb | xargs -Ideb_file dpkg-deb -x deb_file tmp
+    install -Dv --mode=755 tmp/usr/src/tensorrt/bin/* $bindir
+    install -Dv --mode=644 tmp/usr/include/$target/* $includedir
+    install -Dv --mode=755 tmp/usr/lib/$target/*.so* $libdir
+    install_license tmp/usr/share/doc/libnvinfer8/copyright
+else
+    cd TensorRT*
+    mv bin/* ${bindir}
+    mv include/* ${includedir}
+    mv lib/*.${dlext}* ${libdir}
+
+    if [[ ${target} == x86_64-w64-mingw32 ]]; then
+        chmod +x ${bindir}/*.{dll,exe}
+        install_license doc/TensorRT-SLA.pdf 
+    else
+        install_license doc/pdf/TensorRT-SLA.pdf 
+    fi
+fi
+"""
+
+lib_names = [
+    "nvinfer",
+    "nvinfer_plugin",
+    "nvonnxparser",
+    "nvparsers"
+]
+
+products = vcat(
+    [LibraryProduct(["lib$lib_name", lib_name], Symbol("lib$lib_name"); dont_dlopen=true) for lib_name in lib_names],
+    [ExecutableProduct("trtexec", :trtexec)]
+)
+
+builds = []
+for cuda_version in cuda_versions
+    include("build_cuda+$(cuda_version.major).jl")
+    
+    for (platform, sources) in platforms_and_sources
+        augmented_platform = deepcopy(platform)
+        augmented_platform["cuda"] = CUDA.platform(cuda_version)
+        should_build_platform(triplet(augmented_platform)) || continue
+
+        dependencies = [Dependency("CUDNN_jll", cudnn_version; compat="8.2")]
+
+        push!(builds, (; dependencies, platforms=[augmented_platform], sources))
+    end
+end
+
+augment_platform_block = CUDA.augment
+
+# don't allow `build_tarballs` to override platform selection based on ARGS.
+# we handle that ourselves by calling `should_build_platform`
+non_platform_ARGS = filter(arg -> startswith(arg, "--"), ARGS)
+
+# `--register` should only be passed to the latest `build_tarballs` invocation
+non_reg_ARGS = filter(arg -> arg != "--register", non_platform_ARGS)
+
+for (i,build) in enumerate(builds)
+    build_tarballs(i == lastindex(builds) ? non_platform_ARGS : non_reg_ARGS,
+                   name, version, build.sources, script,
+                   build.platforms, products, build.dependencies;
+                   julia_compat="1.6", augment_platform_block, dont_dlopen=true)
+end