Collection: Raspberry PI5

Raspberry PI 4 clusters can be found here.

The RPI5 is the latest Raspberry board announced in October 2023. This new RPI5 is up to 2-3 times faster compute that the RPI4 with double the memory bandwidth, much faster microSD card access and a new OS called Bookworm.

The RPI5 can use more power than the RPI4 in order to achieve it's greater speed. Even at the same power level, the RPI5 is faster because of it's new CPU.

The RPI5 also generates a lot more heat than the RPI4. As a result, we have redesigned and tested all of our cases for heat dissipation. We are also using larger heat sinks and larger fans in some models as well.

In our testing, the 2A PDU is suitable for many clustering tasks, like Kubernetes or tasks that do not require sustained, high CPU/CPU/IO workloads. We also provide a new 3A CPU for those higher demand workloads. On top of that, the 3A PDU can support m.2 SSDs via the PiMoroni M.2 Base Board.

We have 3 new versions of the RPI5 cluster. This allows us to start at a lower price point, while providing clusters with higher power PDUs and M.2 SSDs.

Pico H - Modified version of RPi4 case, specifically for RPI5. This provides a less expensive cluster suitable for many use cases.
Pico T - Specific design for RPI5. Case, fan, and heat sinks are all larger along with a new 3A PDU. This is the standard RPI5 version.
Pico M - RPI5 design that integrates PiMoroni NVMe Baseboard. This provides M.2 SSD support for RPI5 with far more storage and much higher speeds than MicroSD.

The Advanced Kit and Assembled Cube come with the 8GB board. You can use any of the RPI5 boards in the Starter Kit.

PicoCluster takes Raspberry PI cluster to the next level by creating clusters of them to learn or teach beginning to very advanced computing principles. We sell clusters of 3, 5, 10 and 20 computers (called nodes), or you can build your own with either our Starter or Advanced kits!

You can use a Raspberry PI cluster to run almost any kind of distributed or parallel software. Run your own LAMP cluster, Docker, Kubernetes. Also learn languages like Javascript, Java, Pthon, R, and so on. Use for Development, QA, DevOps, or Education.