ODROID H2 is NUC-sized while PI335 Gemini Lake is pico-ITX sized. The ODROID H2 is faster and possibly cheaper (depending on the memory you buy or you already have ZBOX has soldered memory), but it is larger. either Zotac ZBOX PI335 Gemini Lake (with N4100, not to be confused with the obsolete ZBOX PI335 with N3350) or an ODROID H2. If you want something cheaper, or if you want, like me, both full-size DisplayPort & HDMI connectors (not DisplayPort on USB C), then you must choose a Gemini Lake device, i.e. The size is smaller than a NUC but larger than a pico-ITX board. The included fan does not start unless you run a heavy workload and even then it is silent. The speed was excellent, because the Kaby Lake CPU was configured for 7 W TDP with 15 W TDP for the first 28 seconds. I have installed in its 2 M.2 connectors a NVMe SSD and a second Ethernet interface. It has everything a NUC has, except that it has one less USB port (it has 1 C + 3 A, while some NUCs have 1 C + 4 A). Considering that its price includes 8 GB RAM, 64 GB flash and the Windows licence (even if I wiped it and I installed Linux) it is cheaper than an i3 NUC where at the same price you have no memory. While Zotac has presented at CES one such device, its price and time of availability are unknown.įor now, the only device available with Y-Series is "LattePanda Alpha". The devices with Intel Y-Series processors are much faster, but they are also more expensive. Therefore, for the moment the only sensible choices are devices with either Intel Gemini Lake processors or with Intel Y-Series processors. RK3399, which are much faster than Pi but much slower than x86, or you can find development systems or modules with modern smartphone ARM processors, but those are much more expensive than a faster Intel NUC.
You can find only devices with obsolete slow ARM processors, e.g. While the best processors for such devices would be ARM processors (with Cortex-A76 or Cortex-A75), nobody offers adequate devices. I have experimented with a very large number of devices between NUC and Pi. If you want the power consumption of a smartphone, you also have the computational speed of a smartphone, but that should be enough for many applications.
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