Availability of TensorRT 10.4 for Ubuntu 22.04 (sbsa)

Description

TensorRT 10.4 (libnvinfer10) is not yet available at Index of /compute/cuda/repos/ubuntu2204/sbsa .

This is contrary to Support Matrix :: NVIDIA Deep Learning TensorRT Documentation which states support for Linux SBSA.

Environment

TensorRT Version: 10.4
GPU Type: Quadro RTX 4000
Nvidia Driver Version: 535.183.01 (LTSB)
CUDA Version: See Container
CUDNN Version: See Container
Operating System + Version: See Container
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag): Container nvidia/cuda:12.6.1-runtime-ubuntu22.04

Steps To Reproduce

docker run --rm -ti nvidia/cuda:12.6.1-runtime-ubuntu22.04 bash -c 'apt update && apt search libnvinfer10'

==========
== CUDA ==
==========

CUDA Version 12.6.1

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

WARNING: The NVIDIA Driver was not detected.  GPU functionality will not be available.
   Use the NVIDIA Container Toolkit to start this container with GPU support; see
   https://docs.nvidia.com/datacenter/cloud-native/ .

Get:1 http://ports.ubuntu.com/ubuntu-ports jammy InRelease [270 kB]
Get:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/sbsa  InRelease [1579 B]
Get:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/sbsa  Packages [849 kB]
Get:4 http://ports.ubuntu.com/ubuntu-ports jammy-updates InRelease [128 kB]
Get:5 http://ports.ubuntu.com/ubuntu-ports jammy-backports InRelease [127 kB]
Get:6 http://ports.ubuntu.com/ubuntu-ports jammy-security InRelease [129 kB]
Get:7 http://ports.ubuntu.com/ubuntu-ports jammy/restricted arm64 Packages [24.2 kB]
Get:8 http://ports.ubuntu.com/ubuntu-ports jammy/main arm64 Packages [1758 kB]
Get:9 http://ports.ubuntu.com/ubuntu-ports jammy/multiverse arm64 Packages [224 kB]
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Get:15 http://ports.ubuntu.com/ubuntu-ports jammy-backports/main arm64 Packages [81.0 kB]
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Get:17 http://ports.ubuntu.com/ubuntu-ports jammy-security/universe arm64 Packages [1092 kB]
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Get:19 http://ports.ubuntu.com/ubuntu-ports jammy-security/multiverse arm64 Packages [24.1 kB]
Get:20 http://ports.ubuntu.com/ubuntu-ports jammy-security/main arm64 Packages [1908 kB]
Fetched 32.1 MB in 3s (11.8 MB/s)                            
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
9 packages can be upgraded. Run 'apt list --upgradable' to see them.
Sorting... Done
Full Text Search... Done
libnvinfer10/unknown 10.3.0.26-1+cuda12.5 arm64
  TensorRT runtime libraries

@AakankshaS Will TensorRT 10.4 be made available for Linux SBSA?

Or will this version be skipped for Linux SBSA?

I see… you started building the latest TensorRT version for Ubuntu 24.04 (sbsa) and stopped building it for Ubuntu 22.04 (sbsa).

For Ubuntu (x86_64) you continue to build the latest TensorRT version for 22.04 and even 20.04, though.

@AakankshaS Is there a technical reason why you stop building the latest TensorRT version for older Ubuntu (sbsa) versions [at some point]?