Bit-Brick Cluster K1 lets you build a 32-core RISC-V computer (by clustering 4 SpacemiT K1 boards) The SpacemiT K1 is an 8-core RISC-V processor that has been tapped for several single-board computers, laptops, and tablets in the past two years. It's not exactly the fastest processor available, with performance about on par with what you'd expect from an Arm Cortex-A55 chip. But you know what's faster than an 8-core RISC-V processor? A cluster board that lets you leverage four of them at once.

Bit-Brick Cluster K1 lets you build a 32-core RISC-V computer (by clustering 4 SpacemiT K1 boards) #BitbrickClusterK1, #ClusterBoard, #ClusterComputering, #Riscv, #SpacemitK1, #SsomK1

Sipeed NanoCluster is a tiny device for creating clusters of up to 7 Compute Modules Cluster computing is a method of setting up multiple computers so they can work together like a single system. Some cluster systems are massive machines that take up space in data centers. Others are a lot smaller. But the SiPeed NanoCluster is one of the most compact cluster boards I've ever seen. When fully populated, it's a 100 x 60 x 60mm (3.94" x 2.36" x 2.36") device that supports up to 7 compute modules.

Sipeed NanoCluster is a tiny device for creating clusters of up to 7 Compute Modules #ClusterBoard, #ComputeModule, #Nanocluster, #Sipeed, #SipeedNanocluster

Original post on czinege.social

So we have the Turing Pi clusterboard around for a while. A new kid is joining the party. Welcome Cerebro www.kickstarter.com/projects/cerebrocluster/... #ai #edgecomputing #clusterboard #turingpi […]

Cerebro clusterboard supports up to four Raspberry Pi, NVIDIA Jetson, or Radxa CM5 compute modules (crowdfunding) What's better than a Raspberry Pi Compute Module? If you're working on projects that support parallel processing, the answer might be two Raspberry Pi Compute Modules... or maybe four of them. The Cerebro clusterboard is designed to let you attach up to four compute modules to a single baseboard. It supports Raspberry Pi CM4 and CM5 compute modules, but it 

Cerebro clusterboard supports up to four Raspberry Pi, NVIDIA Jetson, or Radxa CM5 compute modules (crowdfunding) #Cerebro, #Clusterboard, #ComputeModule, #Crowdfunding, #RadxaCm5, #RaspberryPiCm4, #RaspberryPiCm5, #RaspberryPiComputeModule, #SparklabSolutions

Original post on liliputing.com

Cerebro clusterboard supports up to four Raspberry Pi, NVIDIA Jetson, or Radxa CM5 compute module...

liliputing.com/cerebro-clusterboard-sup...

#News #cerebro […]

[Original post on liliputing.com]