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Reddit mentions of NanoPC-T4 RK3399 ARM Dual-Display Mini PC LPDDR3 RAM 4GB Gbps Ethernet,Support Android 8.1 and Lubuntu 16.04, AI Project

Sentiment score: 1
Reddit mentions: 1

We found 1 Reddit mentions of NanoPC-T4 RK3399 ARM Dual-Display Mini PC LPDDR3 RAM 4GB Gbps Ethernet,Support Android 8.1 and Lubuntu 16.04, AI Project. Here are the top ones.

NanoPC-T4 RK3399 ARM Dual-Display Mini PC LPDDR3 RAM 4GB Gbps Ethernet,Support Android 8.1 and Lubuntu 16.04, AI Project
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    Features:
  • Dual Camera Interface & Dual 4K output: Supports simultaneous input of dual camera data annd dual display output.,Perfect Platform for VR, AI,Machine Learning anddeep vision Applications. FriendlyElec's Android 8.1 suppots display rotation. You can rotate display by 0*/90*/180*/270* degrees
  • M.2 NVME PCle x4: The NanoPC-T4's M.2 M-Key PClex4 interface has powerful expansion capabilities. It supports SSD storage expansion and expansion interfaces including STAT, USB3.0/3.1, 1G/10Gbps Ethernet, high speed WiFi and etc
  • SuperSpeed USB Interface: USB 3.0 Type-A,10 times faster than USB 2.0๏ผŒUp to 5.0Gbps; USB Type-C is a dual-role port and it supports VESA DisplayPort Alt Mode for USB Type C standard
  • Docker on Ubuntu,Open Source on Github.: Docker is a platform for developers and sysadmins to develop, deploy, and run applications with containers.And Docker is now supported in all three FriendlyElec's systems for RK3399: FriendlyDesktop, FriendlyCore and Lubuntu Desktop
Specs:
ColorNanoPC-T4 Base
Height2.5 Inches
Length3.3 Inches
Number of items1
Weight0.77 Pounds
Width0.39 Inches
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Found 1 comment on NanoPC-T4 RK3399 ARM Dual-Display Mini PC LPDDR3 RAM 4GB Gbps Ethernet,Support Android 8.1 and Lubuntu 16.04, AI Project:

u/smudgepost ยท 2 pointsr/SingleBoardComputer

Interesting thank you. The specs of this unit look pretty good - FriendlyElec NanoPC-T4 Open Source RK3399 ARM Development Board LPDDR4 RAM 4GB Gbps Ethernet,Support Android and Ubuntu, AI and deep Learning https://www.amazon.com/dp/B07F1HH6FZ/ref=cm_sw_r_other_apa_i_flB4Db9Y91HVV

I'm likely to use it as a generic nano PC or media box rather than for AI learning algorithms but ability to push hashing to GPU is advantageous where available though my only real demand is for hashing v2 and v3 vanity .onion domains