October 2, 2014

The RAPi Project

My initial setback in running Rapid Analytics on a Raspberry Pi might end up being just a small stumbling block in the end. The only thing that’s preventing Rapid Analytics from running on a Pi is hardware, a single pi is not quite there to run both X Windows and Rapid Analytics effectively.

Yes, I could put Rapid Analytics on a bigger and more powerful machine, but that defeats my minimalistic approach to this project. I want to run Rapid Analytics on the most cheapest and minimalistic set of hardware out there, and using a Pi is a great way to do it (cheap and damn minimal).

After a conversation with my IT director, he suggested clustering the Pi’s together. There is a great article out there about a student, Josuha Kiepert, that built a 32 node  Pi cluster. That cluster runs at 10 Gigaflops/sec. That’s INSANE!

I started pulling together information on hardware and software to do this.  I think I can pull this off with 4 Pi’s clustered together using the Tomcat software. Tomcat is a system to run java in a distributed fashion across several bits of hardware, in this case 4 Pi’s.

I put in another order for 2 more Pis with power and ethernet cabling, an ethernet switch, and some more SD cards.  Total cost is $140 shipped, plus the other 2 Pi’s @$35 each + cables and SD cards.  I’m looking at potentially having a capable Rapid Analytics Pi cluster for under $400.

I’m calling this the RAPi project!

Don't forget to sign up for our monthly newsletter on Data Science and RapidMiner here!

RapidMiner RapidAnalytics Raspberry Pi tutorials

Previous post
Mining the Minecraft Craze My kids play Minecraft. Their friends play Minecraft. My friend’s kids play Minecraft. I run a Minecraft server for my kids and their friends.
Next post
No Name Resturant On Thursday night I had one of the best bowls of seafood chowder, Boston style, that I can remember. This was at the No Name Resturant and well