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Intel NUC

VMware customer production use cases for Intel NUC 

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The Intel NUC also known as the Next Unit of Computing is a very popular platform for running VMware based homelabs. I have been working with the Intel NUCs since 2016 with their 6th Generation model when I decided to rebuild my personal home lab. Since then I have continued my efforts to ensure that vSphere continues to run extremely well on this amazing little platform even if it is not officially supported by VMware, which now also includes the latest 11th Generation (Tiger and Panther Canyon NUCs).

At the end of last year, I came across this fascinating Intel NUC documentary that was put together by Robtech, which I highly recommend a watch.

While listening to some of the use cases that SimplyNUC had observed over the years which has spanned land ⛰️, air 🛫, sea 🛳️ and space 🚀, it got me thinking about some of the use cases that I had come across while talking to our VMware customers.

Disclaimer: The Intel NUC is not officially supported by VMware and therefore they are not listed on the VMware HCL

A common misconception is that Intel NUCs are only useful for homelab purposes and has no place for running production workloads, which is just simply not true. Here are some of the common use cases that I have seen over the years, most of which are deployed at the Edge/ROBO:

  • vSphere Development/Testing, Education and Training
  • Retail, Grocery, Industrial Factories and Ships
  • Build Automation (CI/CD)
  • Telco/NFV (e.g. Network/Hardware monitoring)
  • Virtual Desktop Infrastructure (VDI)

I also wanted to take this opportunity and to share some of the stories on how some of our customers have taken advantage of this platform, even though it is not officially supported by VMware and some of the underlying business drivers. Hopefully these stories will educate, resonate and perhaps even inspire other customers to explore different computing platforms, especially at the Edge where constraints and requirements will differ quite significantly when compared to a typical Enterprise Datacenter.

If you would like to share your story of how you are using Intel NUC and VMware for production, feel free to reach out using the contact page.

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New Community Networking Driver for ESXi Fling

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I am super excited to announce the release of a new Community Networking Driver for ESXi Fling! The idea behind this project started about a year ago when we released an enhancement to the ne1000 driver as a community update which enabled ESXi to recognize the onboard network adapter for the Intel 10th Gen (Frost Canyon) NUC. Although the Intel NUC is not an officially supported VMware platform, it is extremely popular amongst the VMware Community. In working with the awesome Songtao, we were able to release this driver early last year for customers to take advantage of the latest Intel NUC release.

At the time, I knew that this would not be the last occurrence dealing with driver compatibility. We definitely wanted an easier way to distribute various community networking drivers that is packaged into a single deliverable for customers to easily consume and hence this project was born. In fact, it was quite timely as I had just received engineering samples of the new Intel NUC 11 Pro and Performance (Panther Canyon and Tiger Canyon) at the end of 2020 and work needed to be done before we could enable the onboard 2.5GbE (multi-gigabit) network adapter which is a default component of the new Intel Tiger Lake architecture. As reported back in early Jan, Songtao and colleague Shu were successful in getting ESXi to recognize the new 2.5GbE network adapter and has also been incorporated into this new Fling. In addition, we also started to receive reports from customers that after upgrading to a newer ESXi 7.0 releases, the onboard network adapters for the Intel 8th Gen NUC was no longer functioning. In an effort to help customers with this older platform, we have also updated the original community ne1000e driver to include the relevant PCI IDs within this Fling.


The new Community Networking Driver for ESXi is for PCIe-based network adapters and currently contains the following two driver modules:

  • igc-community - which adds support for Intel 11th Gen NUCs and any other hardware platform that uses the same 2.5GbE devices
  • e1000-community - which adds support for Intel 8th Gen NUC and any other hardware platform that uses same 1GbE devices

For a complete list of supported devices (VendorID/ProductID), please take a look at the Requirements tab on the Fling website. As with any Fling, this is being developed and supported in our spare time. In the future, we may consider adding other types of devices based on feedback from the broader community. I know Realtek-based PCIe NICs is something that many have been asking about and as mentioned back in this blog post, I have been in engaged with the Realtek team and hopefully in the near future, we may see an ESXi driver that can support some of the more popular devices in the community. If there are other PCIe-based networking adapters that could fit the Fling model, feel free to leave a comment on the Fling website and we can evaluate as time permits.

ESXi on 11th Gen Intel NUC (Panther Canyon) & (Tiger Canyon)

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The highly anticipated 11th Generation Intel NUCs based on the new Tiger Lake processors has just been announced by Intel and I am excited to share my first hand experience with this new NUC platform. There are currently two models in the new 11th Gen lineup: the Intel NUC 11 Performance codenamed Panther Canyon (pictured on the left) which is the successor to the 10th Gen (Frost Canyon) NUC and the Intel NUC 11 Pro codenamed Tiger Canyon (pictured on the right) which is the successor to the 8th Gen (Provo Canyon) NUC.


There are a number of new improvements and capabilities that will make these new NUCs quite popular for anyone looking to build or upgrade their vSphere environment in 2021.

Before diving right in, I must say I love the new aesthetic look of the NUC chassis. In previous versions, the lid had a glossy and shiny finish, which easily left hand prints. These new models now have a clean matte finish. The NUC 11 Performance has a smoother feel compared to the NUC 11 Pro which has more of a texture to the finish, which I personally prefer. The other noticeable change is the power adapter, which is now half the size now which is nice for those looking to have several of these new kits sitting next to each other.

UPDATE (02/17/21) - The Community Networking Driver for ESXi Fling has been released and is required for ESXi to recognize the new onboard 2.5GbE network adapter on all Intel NUC 11 models

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Intel NUC with 512GB memory

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Yes, you read that correctly. 512 gigabytes of memory on an Intel NUC. Not only is this pretty 🤯 but this is actually possible today with an already released Intel NUC!

A few months back, I was made aware of some really cool technology from Intel called Intel Memory Drive Technology (IMDT) which leverages Intel Optane SSDs to extend memory of a system beyond its physical memory (DRAM) capacity. This technology is made possible with their IMDT software, which is a purpose built Hypervisor whose sole purpose is to just manage memory and this Hypervisor runs on top of the Intel Optane SSD. You can think of this like a Software-Defined Memory (SDM) solution. In fact, SDM was actually coined in this performance white paper evaluating IMDT with scientific-based applications back in 2018.

Note: This should not be confused with Intel Optane and its Datacenter Persistent Memory (PMEM) solution which vSphere already supports today.

The target use case for this type of technology is for memory intensive applications such as SAP HANA, Oracle, Redis, Memcache and Apache Spark to just name a few. These workloads can easily gobble up 10's of terabytes of memory that can bring a number of challenges when needing to scale up these solutions. High capacity memory DIMMS are not only expensive, but once you exhaust the number of physical DIMM slots, your only option for scale up is to add additional servers which is very costly.

Using IMDT, customers can expand their physical DRAM capacity from 8x to 15x, which can significantly improve cost, performance but also the operational overhead in managing  additional systems. Putting aside the in-memory based workloads, I think there is also huge potential for general purpose workloads that can also get the exact same benefits, especially when you think about constraints like power, cooling and location such as Edge or ROBO locations. Since this solution works on an Intel NUC, a really interesting use case for this technology that immediately came to mind was for a vSphere/NSX/vSAN homelab environment.

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Complete vSphere with Tanzu homelab with just 32GB of memory!

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Since the release of vSphere 7.0 Update 1, the demand and interests from the community on getting hands on with vSphere with Tanzu and the new simplified networking solution, has been non-stop. Most folks are either upgrading their existing homelab or looking to purchase new hardware that can better support the new features of the vSphere 7.0 release.

Although vSphere with Tanzu now has a flavor that does not require NSX-T which helps reduces the barrier on getting started, it still has some networking requirements which may not be easily met in for all lab environments. In fact, this was actually the primary reason I had started to look into this since my personal homelab network is very basic and I do not have nor want a switch that can support multiple VLANs, which is one of the requirements for vSphere with Tanzu.

While investigating for a potential solution, which included way too MANY hours of debugging and troubleshooting, I also thought about the absolute minimal amount of resources I could get away with after put everything together. To be clear, my homelab is comprised of a single Supermicro E200-8D which has 128GB of memory and that has served me well over the years and I highly recommend it for anyone that can fit that into their budget. With that said, I did set out with a pretty aggressive goal of using something that is pretty common in VMware homelabs which is an Intel NUC and with just 32GB of memory.

Here is the hardware BOM (similar hardware should also work):

  • Intel NUC 10i7FNH
  • 32GB memory
  • Single 250GB M.2 NVMe SSD
    • NUC can support two SSD (M.2 + SATA), you can always go larger

Here is the software BOM:

Note: The Intel NUCs (Gen 6 to 10) can all support up to 64GB of memory and this is one of the best upgrades you can give yourself, but if you only have 32GB of memory, this will also work.

The final solution will comprise of the following:

  • 1 x vCenter Server Appliance (VCSA) running on the Intel NUC self-managing the ESXi host
  • VMFS storage will be used instead of vSAN to reduce memory footprint (If you have 64GB of memory, recommend using vSAN)
  • Onboard NIC will be used for all traffic and will be attached to a Distributed Virtual Switch (VDS)
    • 3 x Distributed Portgroups will be configured on top of your existing LAN network, the latter two will be routed through our Photon OS Router VM
      • Management - Existing LAN network
      • Frontend - 10.10.0/24
      • Workload - 10.20.0.0/24
  • 1 x vSphere with Tanzu Cluster enabled with Workload Management
  • 1 x HAProxy VM deployed using 3-NIC configuration
  • 1 x Photon OS Linux VM used as a Router for IP forwarding and optionally, a DNS server if you do not already have one
  • 9 x IP Addresses in total will be required from your local LAN network
    • 4 x IP Addresses which should map to following hostnames or similiar
      • esxi-01.tanzu.local
      • vcsa.tanzu.local
      • router.tanzu.local
      • haproxy.tanzu.local
    • 5 x IP Addresses in a consecutive block (e.g. 192.168.30.20-192.168.30.25) will be needed for the Supervisor Control Plane VMs


As part of this solution, I have automated as much of the tasks as possible and all scripts used for this solution can be found at https://github.com/lamw/vsphere-with-tanzu-homelab-scripts which I will be referencing throughout the instructions. There are also a number of techniques and tricks I am using to be able to reduce the overall memory footprint for setting up vSphere with Tanzu, obviously these should not be used in a Production grade environment.

I also want to give a huge thanks to Timo Sugliani for all of his help with the networking question/challenges and Mayank B. from the vSphere with Tanzu Engineering team who helped with the debugging and ultimately making this solution a possibility.
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ESXi 7.0 Update 1 now includes NIC driver for Intel NUC 10

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With the upcoming release of vSphere 7.0 Update 1 and specifically ESXi 7.0 Update 1, support for the onboard NIC of the Intel NUC 10 (Frost Canyon) is now included and the community ne1000 VIB driver is no longer needed. If you had previously installed the community driver, you can uninstall the VIB after successfully upgrading to ESXi 7.0 Update 1.