eSIM Studios
Single-board computer maker Radxa has announced plans to introduce two NAS (network attached storage) systems powered by Qualcomm processors.
The upcoming Radxa DragonStation is an all-flash solution with support for up to six NVMe SSDs and dual 10 GbE LAN ports, while the DragonBay is a more traditional design, with support for up to four hard drives and an NVME SSD for acceleration. But its two Ethernet ports top out at 2.5 GbE speeds.
While the company hasn’t shared detailed specs for either model yet, both models have aluminum bodies with magnetic front panels that can be removed for easy access.
The DragonStation is also said to support an “optional AI accelerator” with up to 320 TOPS of local AI processing performance and Radxa says it also offers “support for local deployment of AI models up to 120B parameters),” allowing you to use your home server as a personal AI assistant or for AI-assistant content creation, among other things.
Radxa DragonStation
Radxa’s SSD-only NAs is said to support up to 48TB of total storage if you use each of its M.2 slots for an 8TB SSD. But given the current prices for solid state drives, that would be a very expensive configuration.
Hard drives aren’t as quiet or fast, but they do tend to offer better price-per-gigabyte, so the DragonBay might be the more wallet-friendly solution. It supports over 140TB of total storage.
Radxa DragonBay
According to ITHome, Chinese versions of the DragonBay and DragonStation will ship with a Chinese NAs operating system called Feiniu FnOS, but it’s unclear if global versions will use a different operating system and/or the pre-installed software will be easy to replace.
Update: Radxa says that outside of China the DragonStation and DragonBay will come with Fygo OS pre-installed. Fygo is an open source operating system designed for network attached storage systems, and it includes a web interface for managing your storage, apps, and settings. It also includes support for synchronizing files across devices, streaming vide os from your NAS, and managing photos (there’s support for running local AI models for face recognition, automatic image categorization, and natural language search).
via Radxa (Discord), CNX Software, and ITHome
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