Windows in Proxmox Cannot Detect Virtio Network Adapter

I encountered this issue when installing Windows 2019 on proxmox Virtual Environment 6.1-7.

Below is my windows VM setting

In windows, I cannot see any network adapter to be configured.

After looking around in proxmox documentation, I found this gem, whereby you can download driver for the windows so that your windows can recognize the virtio interface.

You can download the iso for the driver from the above link, or using this direct link.

Once downloaded, upload the iso to proxmox using these steps.

Insert it into our windows vm cd drive, like below

You should now be able to see the iso mounted as D drive (depending on how many partition you have in your windows VM)

Now you have to install the driver. Press windows + s, type Device Manager and press Enter.

Expand "Network Adapters", you should see one adapter that is not recognized by windows.

Right click on it, and choose "Update driver"

Click on "Browse my computer for driver software"

Type in D:\ for the location, and tick "Include subfolders"

Click Next, and the wizard will search for a suitable driver for your device. Wait for it to finish.

Once done, it will show that your windows now has recognized the network adapter.

Reboot, if the wizard asks for it.

Done
     

Install nvidia driver for Tesla card on ubuntu 16.04

Check what driver your card is currently using, in this case, the card is using the opensource nvidia drivers called nouveau
$ lspci -v | grep -A8 NVIDIA
3d:00.0 3D controller: NVIDIA Corporation Device 1bb3 (rev a1)
        Subsystem: NVIDIA Corporation Device 11d8
        Flags: bus master, fast devsel, latency 0, IRQ 40
        Memory at b7000000 (32-bit, non-prefetchable) [size=16M]
        Memory at 4bfe0000000 (64-bit, prefetchable) [size=256M]
        Memory at 4bff0000000 (64-bit, prefetchable) [size=32M]
        Capabilities:
        Kernel driver in use: nouveau
        Kernel modules: nvidiafb, nouveau

Download the driver for your card from nvidia download website

Choose the correct card model, and operating system, and click SEARCH

Click DOWNLOAD

Click AGREE & DOWNLOAD to download

If you want to download using wget, right click on the AGREE & DOWNLOAD button, and choose "Copy Link Address". Run wget against the link

$ wget http://us.download.nvidia.com/tesla/410.79/nvidia-diag-driver-local-repo-ubuntu1604-410.79_1.0-1_amd64.deb

Install the driver

$ sudo apt install ./nvidia-diag-driver-local-repo-ubuntu1604-410.79_1.0-1_amd64.deb

Make sure you have now nvidiafb in kernel modules 

$ lspci -v | grep -A15 NVIDIA

3d:00.0 3D controller: NVIDIA Corporation Device 1bb3 (rev a1)

        Subsystem: NVIDIA Corporation Device 11d8

        Flags: bus master, fast devsel, latency 0, IRQ 40

        Memory at b7000000 (32-bit, non-prefetchable) [size=16M]

        Memory at 4bfe0000000 (64-bit, prefetchable) [size=256M]

        Memory at 4bff0000000 (64-bit, prefetchable) [size=32M]

        Capabilities: [60] Power Management version 3

        Capabilities: [68] MSI: Enable+ Count=1/1 Maskable- 64bit+

        Capabilities: [78] Express Endpoint, MSI 00

        Capabilities: [100] Virtual Channel

        Capabilities: [250] Latency Tolerance Reporting

        Capabilities: [128] Power Budgeting

        Capabilities: [420] Advanced Error Reporting

        Capabilities: [600] Vendor Specific Information: ID=0001 Rev=1 Len=024

        Capabilities: [900] #19

        Kernel driver in use: nouveau

        Kernel modules: nvidiafb, nouveau

Update

$ sudo apt update

Install cuda-drivers

$ sudo apt install cuda-drivers

Reboot your machine

$ sudo reboot

Check whether your card is using nvidia driver, and not nouveau

$ lspci -v | grep -A8 NVIDIA

3d:00.0 3D controller: NVIDIA Corporation Device 1bb3 (rev a1)

        Subsystem: NVIDIA Corporation Device 11d8

        Flags: bus master, fast devsel, latency 0, IRQ 88

        Memory at b7000000 (32-bit, non-prefetchable) [size=16M]

        Memory at 4bfe0000000 (64-bit, prefetchable) [size=256M]

        Memory at 4bff0000000 (64-bit, prefetchable) [size=32M]

        Capabilities:

        Kernel driver in use: nvidia

        Kernel modules: nvidiafb, nouveau, nvidia_410_drm, nvidia_410