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Configure NSX-T Edge to run on AMD Ryzen CPU

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The vast majority of VMware Homelabs is still Intel-based today but I have been seeing a slow rise of AMD-based kits being adopted, especially with AMD's desktop line of CPUs known as Ryzen. One of the considerations on whether you could use an AMD processor was whether you were planning to deploy NSX-T and in earlier releases, only Intel was supported as the NSX-T Edge required support for Data Plane Development Kit (DPDK) and this was only supported with Intel-based processors.

With the latest NSX-T 3.0 release, AMD-based processors are now supported and per the release notes, the following CPUs can be used:

  • AMD EPYC 7xx1 Series (Naples)
  • AMD EPYC 3000 Embedded Family and newer
  • AMD EPYC 7xx2 Series (Rome)

You will notice that only AMD's server line of CPUs known as EPYC are currently supported, which makes sense for running Production workloads. If you attempt to deploy an NSX-T Edge Node running on a non-EPYC platform, you will get an error message stating the CPU is not supported and I figured this was probably due to the lack of DPDK support in the consumer CPUs.

Yesterday, in our internal "Homelab" Slack channel, I came across an interesting tidbit from Andrea Spagnolo, a Sr. Field Engineer in our Cloud Native Business Unit who shared a pretty neat trick on how to get latest NSX-T 3.0 release to work with a Ryzen-based CPU.

Disclaimer: This is not officially supported by VMware. The behaviors described here can change in the future

First off, I want to thank Andrea for sharing but also credit to Beniamino Guarnaschelli and his blog post here which actually gave Andrea the idea to take a closer look as he was trying to get this setup in his own personal homelab.

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Deploying a minimal vSphere with Kubernetes environment

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A very useful property of automation is the ability to experiment. After creating my vSphere 7 with Kubernetes Automation Lab Deployment Script, I wanted to see what was the minimal footprint in terms of the physical resources but also the underlying components that would be required to allow me to still a fully functional vSphere with Kubernetes environment.

Before diving in, let me give you the usual disclaimer 😉

Disclaimer: This is not officially supported by VMware and you can potentially run into issues if you deviate from the official requirements which the default deployment script adheres to out of the box.

In terms of the physical resources, you will need a system that can provision up to 8 vCPU (this can be further reduced, see Additional Resource Reduction section below), 92GB memory and 1TB of storage (thin provisioned).


which translates to following configuration within the script:

  • 1 x Nested ESXi VM with 4 vCPU and 36GB memory
  • 1 x VCSA with 2 vCPU and 12GB memory
  • 1 x NSX-T Unified Appliance with 4 vCPU and 12GB memory
  • 1 x NSX-T Edge with 8 vCPU and 12GB memory

Note: You can probably reduce memory footprint of the ESXi VM further depending on your usage and the VCSA is using the default values for "Tiny", so you can probably trim the memory down a bit more.

Another benefit to this solution is by reducing the number of ESXi VMs required, it also speeds up the deployment and in just 35 minutes, you can have the complete infrastructure fully stood up and configured to try out vSphere with Kubernetes!


The other trick that I leveraged to reduce the amount of resources is by changing the default number of Supervisor Control Plane VMs required for enabling vSphere with Kubernetes. By default, three of these VMs are deployed as part of setting up the Supervisor Cluster, however I found a way to tell the Workload Control Plane (WCP) to only deploy two 🙂


This minimal deployment of vSphere with Kubernetes has already been incorporated into my vSphere with Kubernetes deployment script, but it does require altering several specific settings. You can find the instructions below.

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Heads Up – Nested ESXi crashes in ESXi 7.0 running on older CPUs

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Thanks to Patrik Kernstock, who works in our Technical Support organization at VMware, for making me aware of an issue related to Nested ESXi running on an ESXi host that has been upgraded to ESXi 7.0. Several folks in the community have noticed after upgrading their Intel NUC 7th Gen and deploying a Nested ESXi VM and powering on an inner-guestOS would causes the Nested ESXi VM to crash.

Upon further investigation, it looks like this is not specific to the Intel NUC platform but rather with a specific generation of CPUs which are Intel Sky Lake-based and as a result, some customers are noticing this affect on their 7th Gen NUC.

The good news is that this issue has already been reported and we should have a fix in a future update of ESXi. In the meantime, you can still run Nested ESXi and Nested Virtualization on these affected CPUs, you just will not be able to power on inner-guest VMs. Big thanks to Patrik for helping out with the testing and triaging this internally.

Quick Tip – Allow unsupported CPUs when upgrading to ESXi 7.0

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As outlined in the vSphere 7.0 release notes (which everyone should carefully read through before upgrading), the following CPU processors are no longer supported:

  • Intel Family 6, Model = 2C (Westmere-EP)
  • Intel Family 6, Model = 2F (Westmere-EX)

To help put things into perspective, these processors were released about 10 years ago! So this should not come as a surprise that VMware has decided remove support for these processors which probably also implies the underlying hardware platforms are probably quite dated as well. In any case, this certainly has affected some folks and from what I have seen, it has mostly been personal homelab or smaller vSphere environments.

One of my readers had reached out to me the other day to share an interesting tidbit which might help some folks prolong their aging hardware for another vSphere release. I have not personally tested this trick and I do not recommend it as you can have other issues longer term or hit a similiar or worse situation upon the next patch or upgrade.

Disclaimer: This is not officially supported by VMware and you run the risk of having more issues in the future.

Per the reader, it looks like you can append the following ESXi boot option which will allow you to bypass the unsupported CPU during the installation/upgrade. To do so, just use SHIFT+O (see VMware documentation for more details) and append the following:

allowLegacyCPU=true

There have also been other interesting and crazy workarounds that attempt to workaround this problem. Although some of these tricks may work, folks should really think long term on what other issues can face by deferring hardware upgrade. I have always looked at homelab as not only a way to learn but to grow yourself as an individual.

Note: The boot option above is only temporarily and you will need to pass in this option upon each restart. It looks like this setting is also not configurable via ESXCLI which I initially had thought, so if you are installing this on a USB device, the best option is to edit the boot.cfg and simply append the parameter to kernelopt line so it'll automatically be included for you without having to manually typing this. If this is install on disk, then you will need to edit both /bootbank/boot.cfg and /altbootbank/boot.cfg for the settings to passed in automatically.

This is ultimately an investment you are making into yourself, so do not cut yourself short and consider looking at a newer platform, especially something like an Intel NUC which is fairly affordable both in cost as well as power, cooling and form factor.

A trip down memory lane with the vSphere C# Client and ESXi 6.7 & 7.0

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Last week I had shared the following tweet ...

Those with a keen eye quickly realized there was more to my tweet than meets the eye 😉 but the majority of folks quickly admitted they were fooled by the nice "April Fools" joke ... but was it really a joke?

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How to manually install Folding @ Home on VMware Photon OS?

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As many of you may already know, VMware just released the VMware Appliance for Folding @ Home Fling last week and you can check out this blog post A Force for Good: VMware Appliance for Folding @ Home by Amanda Blevins for all the details. For those new to [email protected] and wish to participate, the VMware [email protected] Appliance is highly recommended as it is optimized and makes it very easy to setup and all configurations are driven through OVF properties. We certainly would appreciate it if you supported Team VMware (52737) which is the default team configuration but you can technical specify any valid [email protected] team ID during the deployment wizard.

Early next week, I expect to release another update to the appliance which will include support for vHW11, VMware Fusion and Workstation and several other enhancements and fixes. Having said that, there are a handful of folks who may not be able to use the appliance as-is or prefer to run this on another Hypervisor platform which does not support OVF properties but still wish to support Team VMware's effort with [email protected] For these reasons, here are the instructions for using VMware Photon OS, a free and tiny Linux distribution for running the [email protected] home software.

Disclaimer: VMware does not officially support the Folding At Home application. For more details or questions, please refer to the official [email protected] documentation as well as their technical forums.
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