Docs: added/updated notes for Infra and Nvidia driver updates

README.md

@@ -35,6 +35,31 @@ Apollo is loaded with new modules and features but needs to be calibrated and co
 
 ## Prerequisites
 
+**[New 2021-01]** The Apollo platform (stable version) is now upgraded with
+software packages and library dependencies of newer versions including:
+
+1. CUDA upgraded to version 11.1 to support Nvidia Ampere (30x0 series) GPUs,
+   with NVIDIA driver >= 455.32
+2. LibTorch (both CPU and GPU version) bumped to version 1.7.0 accordingly.
+
+We do not expect a disruption to your current work, but to ease your life of
+migratation, you would need to: 
+
+1. Update NVIDIA driver on your host to version >= 455.32.
+  ([Web link](https://www.nvidia.com/Download/index.aspx?lang=en-us))
+2. Pull latest code and run the following commands after restarting and
+  logging into Apollo Development container:
+
+```bash
+# Remove Bazel output of previous builds
+rm -rf /apollo/.cache/{bazel,build,repos}
+# Re-configure bazelrc.
+./apollo.sh config --noninteractive
+```
+
+---
+
+
 * The vehicle equipped with the by-wire system, including but not limited to brake-by-wire, steering-by-wire, throttle-by-wire and shift-by-wire (Apollo is currently tested on Lincoln MKZ)
 
 * A machine with a 8-core processor and 16GB memory minimum 
@@ -43,7 +68,7 @@ Apollo is loaded with new modules and features but needs to be calibrated and co
 
 * Ubuntu 18.04
 
-* NVIDIA driver version 440.33.01 and above ([Web link](https://www.nvidia.com/Download/index.aspx?lang=en-us))
+* NVIDIA driver version 455.32.00 and above ([Web link](https://www.nvidia.com/Download/index.aspx?lang=en-us))
 
 * Docker-CE version 19.03 and above ([Official doc](https://docs.docker.com/engine/install/ubuntu/))
 

docs/specs/prerequisite_software_installation_guide.md

@@ -30,11 +30,10 @@ sudo apt-get update
 sudo apt-get upgrade
 ```
 
-![tip_icon](images/tip_icon.png) Internet access is needed for successful
-software updates. Make sure either WiFi or Ethernet cable is connected to a
-network with Internet access. You might need to configure the network for your
-host if the connected network is not using the Dynamic Host Configuration
-Protocol (DHCP).
+![](images/tip_icon.png) Internet access is needed for successful software
+updates. Make sure either WiFi or Ethernet cable is connected to a network with
+Internet access. You might need to configure the network for your host if the
+connected network is not using the Dynamic Host Configuration Protocol (DHCP).
 
 ## Installing NVIDIA GPU Driver
 
@@ -52,7 +51,7 @@ For Ubuntu 18.04+, you can simply run:
 sudo apt-get update
 sudo apt-add-repository multiverse
 sudo apt-get update
-sudo apt-get install nvidia-driver-440
+sudo apt-get install nvidia-driver-455
 ```
 
 You can type `nvidia-smi` to check if NVIDIA GPU works fine on your host. (You
@@ -61,26 +60,29 @@ message will be shown.
 
 ```
 Prompt> nvidia-smi
-Thu Sep  3 16:01:19 2020
+Mon Jan 25 15:51:08 2021
 +-----------------------------------------------------------------------------+
-| NVIDIA-SMI 440.33.01    Driver Version: 440.33.01    CUDA Version: 10.2     |
+| NVIDIA-SMI 460.27.04    Driver Version: 460.27.04    CUDA Version: 11.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
+|                               |                      |               MIG M. |
 |===============================+======================+======================|
-|   0  GeForce GTX 1070    On   | 00000000:01:00.0  On |                  N/A |
-| 26%   38C    P8    11W / 151W |    890MiB /  8114MiB |      0%      Default |
+|   0  GeForce RTX 3090    On   | 00000000:65:00.0  On |                  N/A |
+| 32%   29C    P8    18W / 350W |    682MiB / 24234MiB |      7%      Default |
+|                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
-| Processes:                                                       GPU Memory |
-|  GPU       PID   Type   Process name                             Usage      |
+| Processes:                                                                  |
+|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
+|        ID   ID                                                   Usage      |
 |=============================================================================|
-|    0      1290      G   /usr/lib/xorg/Xorg                            40MiB |
-|    0      1426      G   /usr/bin/gnome-shell                          51MiB |
-|    0      2411      G   /usr/lib/xorg/Xorg                           293MiB |
-|    0      2571      G   /usr/bin/gnome-shell                         227MiB |
-|    0      7071      G   ...AAAAAAAAAAAACAAAAAAAAAA= --shared-files   272MiB |
+|    0   N/A  N/A      1286      G   /usr/lib/xorg/Xorg                 40MiB |
+|    0   N/A  N/A      1517      G   /usr/bin/gnome-shell              120MiB |
+|    0   N/A  N/A      1899      G   /usr/lib/xorg/Xorg                342MiB |
+|    0   N/A  N/A      2037      G   /usr/bin/gnome-shell               69MiB |
+|    0   N/A  N/A      4148      G   ...gAAAAAAAAA --shared-files      105MiB |
 +-----------------------------------------------------------------------------+
 ```
 
@@ -106,9 +108,9 @@ and
 [Configure Docker to Start on Boot](https://docs.docker.com/engine/install/linux-postinstall/#configure-docker-to-start-on-boot).
 
 There is also a
-[dedicated bash script](../../docker/setup_host/install_docker.sh)
-Apollo provides to ease Docker installation, which works both for X86_64 and
-AArch64 platforms.
+[dedicated bash script](../../docker/setup_host/install_docker.sh) Apollo
+provides to ease Docker installation, which works both for X86_64 and AArch64
+platforms.
 
 ## Installing NVIDIA Container Toolkit