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HomeIoTMangoPi Reveals Off a Raspberry Pi Zero-Impressed MQ Professional RISC-V Single-Board Laptop...

MangoPi Reveals Off a Raspberry Pi Zero-Impressed MQ Professional RISC-V Single-Board Laptop — and Router

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Single-board pc startup MangoPi has unveiled a brand new design, impressed by the Raspberry Pi Zero vary however swapping out its system-on-chip for a RISC-V-based half: the MangoPi-MQ Professional.

MangoPi unveiled the unique MangoPi-MQ1 late final 12 months, providing a board designed to take the Allwinner F133-A — a RAM-on-board variant of the Allwinner D1 chip which powers the Nezha RISC-V improvement board — and supply a useful Linux-capable single-board pc for beneath $10 in mass manufacturing. With the Nezha having launched at $99 — and now costing extra — there’s little shock the idea proved of curiosity.

Now, the corporate has proven off a brand new variant, which ditches the bare-bones method for a extra feature-filled board — borrowing closely from the format of Raspberry Pi’s widespread Zero household of single-board computer systems.

Dubbed the MangoPi-MQ Professional, the board swaps out the Allwinner F133-A for the unique D1, requiring a separate RAM module. There is a microSD slot for storage on the left-hand facet of the board, two USB Kind-C connectors for host and USB On-The-Go (OTG) connectivity, and an unspecified Wi-Fi and Bluetooth radio module. There’s additionally an HDMI video port, plus the acquainted 40-pin general-purpose enter/output (GPIO) header of its inspiration.

On the similar time, the corporate — which joked of its prototypes that “I hope it does not explode when powered up” — confirmed off a provider board with two USB ports and two Ethernet ports, designed to show the gadget right into a RISC-V router or different community equipment.

Specs for the board haven’t but been confirmed, however the D1 chip itself gives a single 1GHz 64-bit XuanTie C906 RISC-V core — an implementation of the RISC-V free and open supply instruction set structure, which features a pre-ratification model of the performance-boosting vector extensions plus some vendor-specific options — with no GPU.

events ought to observe the MangoPi Twitter account for extra particulars; an MQ-Professional repository has been created on the MangoPi GitHub account, however on the time of writing was empty bar a single-line readme.



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