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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 (08/23/21) - For those interested in purchasing the Intel NUC 11 Expansion Module, GoRite is a vendor who is now selling this accessory that I was recently made aware of.

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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ASRock AMD "NUC" Gen 2 Platform

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It has been about one year since I first got hands on with ASRock's first AMD "NUC" platform dubbed the 4x4 BOX.

A couple of months back, ASRock launched their 2nd generation of the 4x4 BOX platform which adds support for AMD's Ryzen 4000U series mobile processors with the introduction of the 4x4 BOX: 4800U (Ryzen 7), 4500U (Ryzen 5) and 4300U (Ryzen 3) models.

One immediate difference between the original 4x4 BOX (right) is the slimmed down chassis design, which gives it that classic "compact" look of a traditional NUC. The updated design definitely looks cleaner.

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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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