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ESXi on ASUS PN64-E1

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There are not many small form factor kits out there right now that supports Thunderbolt 4, so I was really interested in what ASUS had to offer with their release of the PN64-E1.


I have actually never worked with an ASUS kit before, so I was definitely looking forward to getting my hands on one of this system and see what capabilities it can enable for the VMware community. I initially learned about this platform last year with their PN64, but in speaking with ASUS, they mentioned I should really check out their newest offering, the PN64-E1, which has several new enhancements over their previous model.

So here is your first look at the ASUS PN64-E1!

UPDATE (02/20/25) - 128GB (2x64GB) DDR5 SODIMM memory is fully functional with PN64-E1, please see this blog post for more information.

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vSphere Pods using VDS based Supervisor in vSphere with Tanzu?

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vSphere with Tanzu has received an exciting update with the release of vSphere 8.0 Update 1, which removes the restriction for requiring NSX-based networking to deploy Supervisor Services. This is really cool because customers with only a VDS based Supervisor can now also get the benefits of the various Supervisor Services that vSphere with Tanzu supports!


For those not aware, Supervisor Services are deployed as vSphere Pods, which is a super tiny VM that boots up a Photon OS kernel and is configured with just enough resources to run one or more Linux containers. In earlier releases of vSphere with Tanzu, vSphere Pods required an NSX based Supervisor, but with this restriction removed in vSphere 8.0 Update 1, it seems like deploying vSphere Pods should also be possible with just a VDS based Supervisor? 🤔

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Frigate NVR with Coral TPU & iGPU passthrough using ESXi on Intel NUC

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For the past couple of weeks, I have been investigating some issues reported by the community when using ESXi with the popular Google Coral Edge TPU for accelerating machine learning (ML) inferencing. Fortunately, with the help from one of our engineers, Songtao, we were able to find a solution! You can find the complete write-up HERE and it also works with the latest ESXi 8.0 Update 1 release.

I was actually surprised at how popular the combination of the Google TPU and ESXi was from the community, which I guess should not come as a surprise, especially with the capabilities of ESXi coupled with all the interests in AI/ML these days.


Another popular use case of the Google TPU, which I had recently learned about is for real-time AI object detection using the Frigate NVR (Network Video Recorder) software, which is a commonly deployed solution that enable various home security and automation capabilities.

In fact, during a conversation with my buddy Alan Renouf, who is a Product Manager focused on running modern Edge workloads and is also a Frigate user, I discovered that the Frigate stack, which encompasses inferencing, video decoding, and the integration of cameras and sensors, closely resembles the components that you would find in many Edge deployments with simliar set of use cases.

Funny enough, I ended up leveraging a lot of my existing work with running ESXi on Intel NUCs and iGPU passthrough, while learning about and setting up Frigate! This was definitely an interesting project to explore and as shared, I now have a complete working setup with the full setup and write-up below.

JFYI - I have already submitted a PR 6576 to update the Frigate ESXi documentation as it is severely out of date and help folks quickly find the latest setup instructions.

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