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This new Raspberry Pi-powered cluster computer is cheaper than a basic desktop

image of the Turing Pi 2
(Image credit: Turing Machines)

It appears the makers of the Turing Pi cluster board are preparing to ship the next version of the mini ITX motherboard (opens in new tab) that’ll hold up to four of the powerful Raspberry Pi Compute Module 4 (opens in new tab) (CM4), enabling a variety of use-cases for businesses and developers.

Turing Pi 2 (opens in new tab), like its predecessor, is designed to power a compact ARM cluster that offers scalable compute on the edge. Besides being a very powerful ARM workstation, the device can also be used for a variety of tasks at the edge such as self-hosting cloud apps, or for deploying a cost-effective Kubernetes cluster.

Developer and YouTuber Jeff Geerling got his hands (opens in new tab) on the upcoming device and he’s mighty impressed with its performance, and more importantly, its energy efficiency. 

Pint-sized powerhouse

According to Geerling, the Turing Pi 2 integrates a board management backplane, power management and gigabit Ethernet switch, alongside various PCI Express breakouts, “so you can build a 4-node SBC [single-board computer] cluster.”

The Turing Pi 2 mainboard features two mini PCI Express slots, two SATA 3 ports, and two bridged Gigabit ethernet adapters. Geerling also says the board has UART headers for each of the RPis, along with a full 40-pin GPIO header for the first slot, which also has a full-size HDMI 2.0 port.

“I think this board is a great platform for learning and low-end ARM cluster builds, and could also be useful for edge environments or other places where power and budget are primary constraints, but you still need multiple nodes,” opines Geerling, adding that he expects the device to launch in January 2022, and cost about $200.

With almost two decades of writing and reporting on Linux, Mayank Sharma would like everyone to think he’s TechRadar Pro’s expert on the topic. Of course, he’s just as interested in other computing topics, particularly cybersecurity, cloud, containers, and coding.