Django Deployement on EC2 with Nginx and Gunicorn and controlling with Supervisor
https://www.youtube.com/watch?v=vmMyuZSHt3c

in case of simple Deployement of Flask and gunicorn you must face 502 bad gateway error so follow below trick for solution

Anyone who lands here from the Googles and is trying to run Flask on AWS using the default Ubuntu image after installing nginx and still can't figure out what the problem is:

Nginx runs as user "www-data" by default, but the most common Flask WSGI tutorial from Digital Ocean has you use the logged in user for the systemd service file. Change the user that nginx is running as from "www-data" (which is the default) to "ubuntu" in /etc/nginx/nginx.conf if your Flask/wsgi user is "ubuntu" and everything will start working. You can do this with one line in a script:

sudo sed -i 's/user www-data;/user ubuntu;/' /etc/nginx/nginx.conf

Install Nvidia Driver ( optional because Every CUDA toolkit also ships with an NVIDIA display driver package for convenience)

Before installation find GPU Model by runing below command

sudo lshw -C display

output

*-display
      description: 3D controller
      product: GK208M [GeForce GT 740M]   # this is my card Name and GK208M is GPUs Model
      description: 3D controller
      product: GK208M [GeForce GT 740M]
      vendor: NVIDIA Corporation
      physical id: 0
      bus info: pci@0000:0a:00.0
      version: a1
      width: 64 bits
      clock: 33MHz
      capabilities: pm msi pciexpress bus_master cap_list rom
      configuration: driver=nouveau latency=0
      resources: irq:49 memory:b3000000-b3ffffff memory:a0000000-afffffff memory:b0000000-b1ffffff ioport:3000(size=128)

Installation Guide Official Link
Read Carefully and scroll down to Ubuntu section and follow th instruction for installation
check nvidia driver version

nvidia-smi --query-gpu=driver_version --format=csv

Display all OEM enablement packages which apply to this system
```
 sudo ubuntu-drivers list-oem 
```
View all hardware NVidia devices which need drivers and which packages
You can install by following below command if below instruction make trouble then use this instruction link
```
 sudo ubuntu-drivers devices
```
output

== /sys/devices/pci0000:00/0000:00:1c.4/0000:0a:00.0 ==
modalias : pci:v000010DEd00001292sv0000103Csd000021DAbc03sc02i00
vendor   : NVIDIA Corporation
model    : GK208M [GeForce GT 740M]
manual_install: True
driver   : nvidia-driver-455 - third-party non-free
driver   : nvidia-340 - distro non-free
driver   : nvidia-driver-450-server - distro non-free
driver   : nvidia-driver-460 - third-party non-free recommended
driver   : nvidia-driver-418-server - distro non-free
driver   : nvidia-driver-470-server - distro non-free
driver   : nvidia-driver-390 - distro non-free
driver   : xserver-xorg-video-nouveau - distro free builtin

Let us install recommended driver automatically 460
```
sudo ubuntu-drivers install
```

Cuda installation with any specific version

Before installtion of Cuda check your GPU compute compitibility in below link
Check for GPU compatibility with Cuda
outpu
The above picture show that My GPU has 3.0 compute compatability but we will deep dive and will see in below link.
You can also make sure your GPU Architecture and GPU model and GPU name in below link
check for GPU
I found my GPU like this.
So above i find out that my GPU has 3.5 compute compatibility and kelper is architecture and GPU model is GK208M
Now i will check CUDA version computability with GPU you ccan check in above link
Output
Now we can install different compatible version of cuda on MY GPU so will Cuda installation in below link
Before Further do we will also check Nvidia Display driver comaptibility with cuda version
vistit her and check tabel 2 and tabel 3 after that if you fullfill the requirement then you may proceed.
Old version visit to below link

cuda toolkit archives

reboot after installation
Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:you can check here

export PATH=/usr/local/cuda-12.0/bin${PATH:+:${PATH}}

export LD_LIBRARY_PATH=/usr/local/cuda-12.0/lib64\
                        ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Removing Nvidia driver and Cuda Toolkit

Official link
step1: To remove Cuda toolkit

sudo apt-get --purge remove "*cuda*" "*cublas*" "*cufft*" "*cufile*" "*curand*" \
"*cusolver*" "*cusparse*" "*gds-tools*" "*npp*" "*nvjpeg*" "nsight*" "*nvvm*"

step2: To remove Nvidia Drivers

sudo apt-get --purge remove "*nvidia*" "libxnvctrl*"

step3: To clean up the uninstall

sudo apt-get autoremove

faridelya/Deplyoment

Install Nvidia Driver ( optional because Every CUDA toolkit also ships with an NVIDIA display driver package for convenience)

Cuda installation with any specific version

Removing Nvidia driver and Cuda Toolkit