Raspberry Pi Supercomputer Cluster

[@GaryExplains]

For those asking about the rack, I don't remember exactly where I bought it. But here are a few from Amazon that you might like: geni.us/3AAUtfx and geni.us/DbWsT and for the UK this one: geni.us/rGjT6

[@DDBAA24]

Does this method your demonstrating using the MPI library allow these RPi's to combine system resources ? I know you said that it sees 4 Pi's = 16 Cores , does it also pool the RAM ? Assuming the answer to both those questions are yes , can you still enable ZRAM within the cluster ? When compiling programs on the Pi it tends to hit swap after a point , ZRAM allows the Pi to swap to the RAM instead of the MicroSD (im sure you familiar). I would want to use a setup like this for compiling , does this cluster configuration help me in that regard ? Thanks Gary .

[@kevindeng1889]

I suggest another rack with fan kit: www.amazon.com/dp/B07MW24S61 and for the UK: www.amazon.co.uk/dp/B07J9VMNBL

[@jamesanderson478]

Hello Gary, I would like to thank you for making this video and maintaining such an informative channel. you are very easy to listen to and your explanations are to the point. Keep up the good work. Today was the first day i saw your channel link and decided to give it a go. the raspberry pi is a great pltform. However the raspberry PI Zero is a very compact development board as well. The Pi Zero does not have the compute power of the big pi. however the integration of the wifi on the board makes it one of my favorites. I built a super computer using the PI Zero as the main board. I loaded each PI with aversion of Windows 2008 data Center Server. I used RUFUS to flash 64 GB microSD cards with the OS. Once i had the OS working I cloned it using tis program... clonezilla.org/clonezilla-SE/ I have a multi-slot microSD card reader. It holds 24 microSD cards and connects via usb 3.1. I installed teh Windows 2008 Data Center Server on the microSD cards in about 15 minutes. Windows Server 2008 Data Center can cluster up to 32 machines processors at once. The Windows platform is very stable yet it is a little large. About 3 GB on each microSD. I used the data center server services to aggregate all the Raspberry PI processors and resources. i used the Wifi on each chip to bridge them all together. I only spaced them about 1/2 inch apart. The network and teh data processing is so fast that it returns almost instantly. I mainly use the cluster just to browse the web and play games. It is absolutely over kill on any kind of gaming or graphics program. I set the paging file on all the drives to 512 initial max 4096. I also connected an external 3.0 6 TB hard disk to the USB mini on one of the PI. Number 32 in the cluster. Then all teh data i download goes thru the other 31 and passes down stream directly to the external like a funnel. I can download a 4K movie in about 55 seconds with my AT&T fiber. I thought you might be interested in looking at this flavor of PI super computer. Of course i have Python, PHP 7.2 and AMPPS installed on the cluster. Automatic load balancing and wifi VLAN tagging. The windows 2008 server data center can open up a whole venue of new and powerful applications you may be interested in

[@eg3730]

@@kevindeng1889 hi

[@kevindeng1889]

@@eg3730 hi

[@fincrazydragon]

A long time ago, a man named Bill Gates had a vision: "A computer on every desktop" Now, thanks to Raspberry Pi, a new vision has emerged: "A supercomputer on every desktop"

[@SS-ARYAN]

But if every desktop computer is a supercomputer…

[@belaolson8172]

@@SS-ARYAN then we can only dream bigger, my guy 😎

[@gustavojhonson7876]

considering the physical limitations of transistors, the only way to turn a single device into a supercomputer is through the cloud.

[@emanyatta]

Wow! 12 minutes super computing lecture gives you more than a 4 year bachelor degree

[@PersonALANty]

Guessing you have that 4 year bachelor's degree and you're referring to it aren't you?

[@gerboog]

No. Just no.

[@jarrettg7937]

I know you're trying to compliment the video (maybe inflate the audience's ego?) but I think your university ripped you off...

[@infinity5288]

the university teaches you in more detail and less effort. this video is less in detail (in a nutshell)

[@PersonALANty]

@@infinity5288 Less in detail with more effort put into explaining the detail. I would say that teaches more, because the less effort put in, the less that you get your point understood, therefore you teach LESS because it is not taught, just stated.

[@achill3sAp0]

Thank you Gary!! I learn more watching one video than spending hours on so called Tech Channels.

[@jamesanderson478]

I agree... He is very good at the explanation and easy to listen to.

[@falcondarkshadow]

Watch tech quickie on yt

[@philh98]

@@falcondarkshadow agreed linus and the gang really do good job there

[@falcondarkshadow]

@@philh98 definitely

[@joakimjocka8022]

This is by far the best example i have seen on this topic, excellent vid

[@joseph6750]

What I find interesting is that that program you ran is the equivalent of what was run on the EDSAC computer in the 1950s when it was doing nothing else and you are generating more prime numbers in 30 seconds than it could in just under 10 years.

[@1MarkKeller]

WOW!

[@AbhinavSubramanian]

Yeah, even the chips you find in those musical birthday cards have more computing power than all the Allied Forces put together did in WW2. It's crazy.

[@dashboy007]

@@AbhinavSubramanian but we went to the moon on that power?

[@bnbnism]

@@dashboy007 even your current computer/laptop/phone no matter the model is still many times more powerful than the greatest computers of the ones used for the first few moon landings

[@dashboy007]

@@bnbnism I was trying to be sarcastic. There is no way my phone today could power anything else but itself, let alone a rocket ship.

[@emd1999]

The example you used with primes is one of concurrency rather than parallelism it seems. This is a very good primer on the basics of high performance computing though. Good video.

[@ridingnerdy6406]

What people forget about the old microwulf clusters is they use 2 gigabit connections to per board to share data. The Pi3 has 1 ethernet connection capped at 300mbps, which made clusters actually slower than a single Pi. Now that the Pi4 is here with true gigabit and USB 3 support to add a second one, a Pi cluster might actually be a viable project.

[@hammercanttouchthis]

So this video is misleading? 🤔

[@bigmacbeta]

@@hammercanttouchthis it was a nice simple example.

[@johndunlap9139]

It depends on the problem you're trying to solve. If the problem you're trying to solve requires minimal network bandwidth(small inputs and outputs) but requires a large amount of CPU processing time... Then the older pi's will work just fine.

[@gregjalepeno6769]

@@hammercanttouchthis It was obviously a demo of a theory of clustering put to practise, not a video about optimisating data bandwidth and latency.

[@jagardina]

I do enjoy your videos, even though I already know pretty much everything you discuss usually. And I have recommended it to people who do need to learn about a topic. Great format, production quality and content. Thanks for making this.

[@bobcat_the_Lion]

Thank you Gary. There are a lot of videos on how to build a cluster with multiple rapberrys, but this is the first time I actually see it running as a cluster. All other videos stopped after the build, or ran them as individual computers.

[@leledumbo]

Reminds me of concurrent & parallel computing class back in college, specifically the grid computing chapter. The classic example we used back then was matrix multiplication, while for the project we choose to parallelize inefficient sequential sorting algorithm with final goal to beat quicksort up to certain data size (because eventually quicksort still wins, it's just a much more efficient algorithm after all).

[@1MarkKeller]

*GARY!* *Good Evening Professor!* *Good Evening Fellow Classmates!*

[@GaryExplains]

MARK!!

[@PEGuyMadison]

I looked a few of these Raspberry Pi clusters and for less than $800 I bought a used quad processor 32 core Xeon Dell R820 with 96 GB of memory..... and it just works. Sure when it's running it consumes more power but it's a unified memory across the 4 processors which makes HPC easier.

[@HShango]

Very informative, i've always considered making a mini supercomputer (raspberry pi 3 +b)

[@Standbackforscience]

Man I love this channel, always something interesting to learn

[@antonnym214]

excellent explanation. Thank you! Back in the early days of the IBM PC, I wrote a game with virtual robots that did combat in a virtual arena, and each "Warbot" ran its own program, which was an interpreted language I wrote just for that game. The language was called R-Code. In this case, The R-code interpreter was running 5 programs at once, and each program had it's own simultaneous i/o. That was pretty cool in the old DOS days before windows and multitasking.

[@hammercanttouchthis]

What version of DOS did it run on? And did you mean it ran on the IBM PC or XT? :)

[@antonnym214]

@@hammercanttouchthis By that time, 1991? I was running it mostly at work on IBM XTs running MSDOS 3.3 or later, as i recall because we had 3.5 inch floppies. The entire programming environment and game fit on a single diskette. It was only 10,000 lines of QuickBASIC code. I never released it to the public, but I had one other friend who was interested in programming who liked writing R-code for the warbots.

[@nyanates]

Reminds me of Robot Wars. My friend and I had a blast programming our robots to pummel each other in the ring.

[@mxcollin95]

Really interesting! I’ve always wondered how that worked.

[@DavideOrlando1969]

Yeah, i did it months ago with 4 raspberry pi 3 and MPI4py and it work very well! I also used psh (parallel secure shell), very useful tool.

[@AbhinavPandit1]

Tht why i like to watch ur show... So many things to learn

[@mav29]

perfect explanation 2:30 - 3:00 planning to have one built soon aside from having rpi4 , i was also thinking about orange pi to have as another alternative then mix them if possible just need more research on this thx sir Gary

[@prashanthb6521]

Wonderful way to explain Gary, thanks a ton.

[@certs743]

Forgetting the cost of power for a moment I am curious how the performance compares to a PowerPC based cluster which was probably the first "out of the box" consumer level hardware solution available that could be configured as a supercomputer cluster.

[@GaryExplains]

Yeah, I agree that would be interesting. In fact building different clusters from various bits of historical and new hardware and then benchmarking them would be quite interesting, but alas very time consuming!

[@johndoe1909]

@@GaryExplains my master thesis where done in the early 90:es, and it was about creating dynamic computing clusters using heterogeneous computers (various hardware architectures at the time). Given the overall limitations we identified types of problems which could scale using the available technique. Great fun and on the cutting edge for it's time. The main benefit was that the computer clients connected where largely unaware that they committed computing cycles, the jobs was running int the background. The base was done in pvm, in many aspects the successor to mpi.

[@nilloviz]

You should make a video about quantum computers. A lot of youtubers have failed to present that topic in a neat way...

[@Masterr59]

This was such an interesting video. One of the best I've seen in a long while!!

[@GaryExplains]

Wow, thank you!

[@antonfernando8409]

awesome, never knew anything about super computing, and now i know, thanks.

[@ykhatat]

Thanks I learned something new today!

[@mohamedshuaau632]

4:14 On serious note. Love the channel. Love the video. Very informative. Thank you!

[@positivevibrations5103]

Wonderful explanation!! Great channel.

[@GaryExplains]

Glad you think so!

[@ThomasGodart]

Nice work, Gary! And if you want to remove the overhead and speed up calculations greatly, you can switch from Python to Golang, for example, and have microservices do the work

[@lorensims4846]

Dragonfly BSD is an OS designed specifically to handle a cluster like this.

[@gregorykusiak5424]

Loren Sims does each node have to match the rest, or can any machine get added to the array?

[@Continus]

This just shows the purpose of Raspberry Pi, a learning tool. I never thought they would bring it to Server/Clusters. It's a great teaching tool from basic programming to now supercomputers. Raspberry Pi may not be a world record PC nor a Supercomputer with Tera flops in processing power. But it has proven to be a super teaching device that's caught a lot of interest world wide for those who want to jump in and learn. And a great gaming emulator! d^_^b

[@coows]

Overclock them and add heatsink and fans to the cluster for extra power.

[@strenuousbobbykushner]

Gary, this video was informative :) Thank you

[@semco72057]

That is a neat idea of making a Super Computer from a group of small computers like the ones you mentioned. I wonder if IBM has thought of that since they are into the Super Computer business.

[@He_isI]

That was done with the PS3.

[@anthonya.jumelles7103]

Yup, that was a project that the US Military did because the PS3s had a lot of cores in a relatively compact form. It made being able to source machines from around the world really eaay.

[@mixcocam]

Super cool video - would be great to see more examples!

[@mihir206]

Hey Gary could you please upload a step by step video to achieve node cluster????

[@mrxmry3264]

About checking if a number is prime: square it, subtract one and divide by 24. If that is a whole number (no digits after the decimal point) it MIGHT be a prime number, otherwise don't waste time checking further.

[@GaryExplains]

Yes, there are plenty of different ways to check for primes are likely primes. But that isn't the main point of the video.

[@maycodes]

Thanx a lot Gary. merry christmas.

[@midcardheelhd8522]

Wow.. I'm an idiot and you explained this so well that i think i could try to do this.

[@gristlevonraben]

I just desire to have one pi for audio, one for video, and one to run them, to turn three pi's into a great desktop computer.

[@kerph]

That would be pointless, because unless your doing instense audio processing, there would be no point in having a dedicated audio pi, and just one pi is not enough to do much video editing on, and at that point what would your third be used for if not everything else?

[@calvint3419]

Thanks Gary. I also tried Apache Spark on Jetson Nano and it works. So I expect Apache Spark can work with Raspberry Pi too. The concept is the same.

[@blazing-angels]

Imagine if you had hundreds of Raspberry Pi's and then used this method to create the ultimate super Raspberry Pi

[@prototype9000]

Linux has a kernel module that handles the nodes so you dont have to make complicated programs

[@GaryExplains]

Which module are you referring to?

[@JohnUnsub]

I'm also interested

[@AlejandroRodolfoMendez]

For what I knew it is in arch Linux, maybe

[@pmccraken]

Nice. Very clearly explained and demo'd

[@fuzzylilpeach6591]

That is super cool! (Pun not intended.) It's one of those things that I'd want to do just out of the fun of making it, regardless of how actually useful it is. Of course it is useful for many things.

[@AungusMacgyver]

Great explanation!

[@familyaccount4753]

wow great video dude!

[@wandiletembe]

😎 Real Tech Channel. 👍🏾🙏🏾🇿🇦

[@GonzaloOviedoLambert]

amazing explanations. Great work, thanks

[@aakashpatil3228]

MPI - messaging service used in supercomputer cluster Scatter n gather (lesser data, high latency) (more data, less latency as compared to single core) Public n private key- security

[@9a3eedi]

I would much recommend using the raspberry pi compute module 3 instead of the regular boards. It has the same specs as the regular pi but are much more suited for this sort of thing, they're smaller so you can pack them more densely and need less wires, and can be ordered in bulk and cheaper. Unfortunately though you'd need to make your own custom board to connect them all together.

[@GaryExplains]

Just to be clear, you would recommend the modules to people who have the skills, knowledge and money to make their "own custom board to connect them all together."

[@9a3eedi]

@@GaryExplains that's correct. The assumption is that someone willing to build a cluster of raspberry pis will also be willing to make a custom board for his custom application

[@GaryExplains]

@@9a3eedi Well that is a bit of a bad assumption. I just built a cluster and I am NOT willing/able to make custom boards.

[@9a3eedi]

@@GaryExplains hmm... Makes me wonder if there's something available off the shelf..

[@9a3eedi]

@@GaryExplains just googled a bit and found something sold for 259 dollars that supports 5 cm3s, connected with switched GbE. Very cool :D

Could you use a lower latency/higher throughput interconnect like direct PCIe connection to increase the performance? For a few computers it could be possible (certainly not on large scale supercomputers since PCIe 3 has max. cable length of 8 inches).

[@kopai555]

Closet we can get now a day in my Datacenter that i take cared is FC (Fiber Channel). Every single server in DC and inside cluster are connect together in network via FC for lowest latency and maximum transfer rate.

[@DataHotep]

We use infiniband in an HPC setting. Its connected through the PCIE bus.

[@slowerpicker]

Nicely done. Thanks!

[@s.j.3247]

Thanks for the nice explaination 😁

[@markphillips8019]

Why did you not use the Lite version of Raspbian? You lost no end of MIPS to running the GUI.

[@0lAlex0]

And would disabling the Desktop interface from raspi-config increase the performance?

[@markphillips8019]

@@0lAlex0 heck yes. You'd have gained about a 20% performance increase. The GUI is a beast.

[@clintgossett1879]

But the demo video would suck

[@YouArentValid]

Because he doesn't actually want to calculate prime numbers as efficiently as possible, he just wants to make a video about cluster nodes lol.

[@markphillips8019]

@@YouArentValid Yeah, this struck me as one of those "I need content for my channel" videos. I'll bet he took it from a howto found on the Interwebs too? Plus, it's been done to death already.

[@PepsisFormosa]

You should try this with the rockpro64 and connect each board together through the pcie to get really low overhead. Might even get to write your own kernel and mpi layer!

[@NoorquackerInd]

PCIe doesn't act super friendly all the time. It's probably better using InfiniBand cards

[@PepsisFormosa]

@@NoorquackerInd Well if you're going to use a comm card, it would be a lot easier to put a ten Gb network card in the pcie slot. I was just thinking to keep costs down, you could try to run the messages over just the pcie lanes.

[@DAVIDGREGORYKERR]

There are new SBC micro computers which have a RYZEN 8 core processor called the UDOO BOLT V8 get eight and you could have 64 cores.

[@BubbafromSapperton]

Looks nice but would I be able to play Pong on it?

[@twistednickster2653]

Nah we won't prob get that for another 5-7 years :(

[@mjs2016]

@@twistednickster2653 not sure if ur joking or not but pong can be played on a web browser if your lazy, or if you have some time, you could get a retro console emulator and set up a pong ROM on it. Or you could program one with python.

[@twistednickster2653]

@@mjs2016 i am joking lol dont worry i wont woosh you

[@surjagain]

Really loved this video :)

[@Pauluz_The_Web_Gnome]

Hi, I have created a cluster programm, that runs before I even press

[@Mangalover345]

now the real question is, Can you play games on it? can it play the benchmark games?

[@joehaines748]

Great job. Thanks for the video.

[@ianwalker6546]

Nice video, really well explained!

[@dryoldcrabman6890]

This was fantastic!

[@neelarjuna2536]

This is one of the best tech channel in the KZbin.

[@leenshelly]

enjoyed this video well presented

[@pppluronwrj]

something new! thanks prof Gary

[@alexanderwingeskog758]

On my old Amiga I did a lot of fractal scenery animation and it took ages, this would be a really good demo of connecting more computers thru a slow bandwidth link. And raytracing also, Lightwave was really great as renderfarms go, one master/server (with GUI) then just send the resources to a bare minimum program that actually calculates the different images and sends it to the master/slave and it is pretty good on resource management as it just hands the nodes the images that is not done (hard to explain) but it really meant that you could connect pretty much anything... a slow computer, a fast computer and so on... it used everything at 100% all the time. Do Povray exist on the Pi? If it does that might be a good start for a great demo of connecting PI's :-)

[@kestergascoyne6924]

Thank you Gary.

[@mqtrx]

i would love to see people make raspberry pi supported or just games for the os and then see people make a pi super computer to get like 500 fps or even a video editor supported for the os

[@HerrHafiz]

thanks for the info.need to study more about the clustering pi .For example begin to cluster 2,then 4, then 8, ....until recently Oracle already built the 1060 Pi s

[@DonaldAnderson]

Gary, I was using two vastly different computers. Computer 1 System 76 Meerkat with an i5 7260u processor. That computer alone could do the prime number program in about 4 seconds. 2nd computer, celeron based ChromeBox but in developer mode and also running Linux. Both systems using PopOS! 19.04 from system 76. When I add the celeron computer into the mix it takes MUCH longer. Like 1 min 30. I thought that even though the second computer was much less powerful, it could at least add some help to the calculations. I was somewhat surprised by the outcome.

[@GaryExplains]

I think with MPI Scatter and Gather the controlling node waits for ALL the computers to finishes their calculations, so slower computers in the cluster will slow everything down. You can write the program differently so it doesn't have that problem.

[@DonaldAnderson]

@@GaryExplains Thanks! I'll look into that!

[@usquanigo]

Making a Pi cluster is cool, but common. Even with desktop clusters. The problem is - once a home user makes one.... then what? What can actually be done with it, that doesn't require writing code (other than playing with light blinking sequences). (Pi calculation, prime number generation, and benchmarks are basically the same as making the lights dance in sequence. Just short term novelties, not actually a use.)

[@BobBeatski71]

I have three HP DL380 G6 machines, 32GB each, each connected by four Gb Ethernet to a DLink switch. They run OpenFOAM cfd software. Each machine puts out 300W of heat when running flat out. So a simulation costs the same as a 1kwh electric fire and I have to make sure I have decent air flow in the house, else it becomes unbearably hot !

[@usquanigo]

That sounds really cool (though you just said it was hot). When you say "simulation", what are you actually doing with it?

[@BobBeatski71]

@@usquanigo I run air flow studies to see what effects changing the internals of electronics units has on where the air flows and whether the flow is faster / slower. For example, a friend suggested, out of curiosity, moving a series of ventilation holes which separate two electronics compartments, to see what effect that would have. Turns out this was a much better solution than that which went into production. Now his idea is causing a revision 2 of the final metal work.

[@usquanigo]

@@BobBeatski71 That is seriously cool. But also sounds like work (business). Not home-gamer (as AvE would phrase it).

[@Amam-xu3xr]

Good now i can create my own server

[@Smarkalbert]

First of all, Thank you Sir for doing this video, Is any bloggs of people specifically doing this project and maybe expanded the project? Please advice, I want to join.

[@mianunya7607]

now we need a raspberry pi 4 supercomputer

[@GaryExplains]

Yeah, I keep thinking about making a video about that, but I want to run a different workload on it so that's not just a repeat of this. However I can't think of an appropriate workload that would be easy to set up and demonstrate.

[@bigmacbeta]

Great job again Gary.

[@JUSTaCringeChannel]

Fantastic channel love it

[@theoneyoudontsee8315]

i know a guy that used 40 raspberry pie 3b 2gb sbcs using a ethernet switch. recently upgraded it to have a better 40 sbc rack using 20 1ft cables and 10 2ft cables and 10 3ft cables all cat6 ethernet 24 gauge matching 100% copper to replace a mess of all 3ft cat5e ethernet cable 20 28 gauge and 20 26 gauge. i did not think how there linked together would matter but after upgrading just the rack and the ethernet cable in arguably a funny pointless expensive way ended up getting a more steady workflow that was vary noticeable. over a 24 hour period even got 1.2% more work dune witch is not margin of error as of this time have more than a year of data after the change and a year before and the thing with raspbery pi clusters is after you buy the cable you dont need to buy more as cat6 ethernet 24 gauge 100% copper cable should be more than enough for some time. i was told the different length of the better matching cable matters with some meta of load priority and how the sbcs link does matter total news to me and the data backs it up.

[@maj429]

There's this thing called punctuation... JK good analysis.

[@athul7227]

Thanks for your knowledge

[@IBITZEE]

PS... if dare to suggest a 'petit' correction to the video... in the demo show the htop from the 4 Pi(s) and dont forget to select the process sort of each htop to CPU load...

[@DavidOwensuk]

Great video Gary:-)

[@GaryExplains]

Glad you liked it!

[@Gdolwell]

the r pi4 changes everything

[@shokama]

Cool video! One question, though: can the Raspberry Pis be connected via GPIOs and make them behave like the cluster in the video? Will it be more effective that way?

[@CodeXND]

there should be a way to do this on old android phones

[@IBITZEE]

As always... great info... great hob!!! you're the man,,, ;-)

[@wychowanynawinie]

Great stuff but there is a much more simple solution called k8s 😊 and of course there is smaller version of k8s called k3s check it out ! In company where i work we use k3s in IoT infrastructure and its work perfectly for example in edge devices.

[@GaryExplains]

Kubernetes is an container management system. A very different thing.

[@RobertBartlettBaron]

@@GaryExplains you are correct about kubernetes being a container management system (sort of, I like to think of it as an orchestration layer) but incorrect in your assertion that it is a very different thing. I am running a couple of kubernetes clusters, I have about 20 or so nodes each having multiple cores (just like your set of rasberry pi having 4 cores). Each node runs its own operating system, has certificates to ensure secure communication, and fast networking between them. All nodes have docker and the kubernetes software running on them, a couple of designated masters - running the scheduling software on them. So you have written a small program that you then load in to each of the nodes. Similarly, I can write a program that is encapsulated in a docker container. This container can then tell kubernetes to start 15 or so containers to run and passing in the values that they need to compute over (the scatter part of your example), then they pass back the result via sockets or a shared network drive. What kubernetes is doing for you is keeping track of all of the nodes and scheduling things for you, so that you as the user of the cluster don't necessarily know what the exact topology of the cluster is - you just say give me a node like ... . From an end user perspective, kubernetes is much simpler to use than your rasbery pi. In actual setup, it is more complex.

[@GaryExplains]

@@RobertBartlettBaron Exactly. And if you can't see that what you have written is very different to MPI and HPC then I can't help you.

[@autohmae]

@@RobertBartlettBaron I would say setup of k8s has gotten a lot easier over time, rke is probably easiest.

[@gamearmour3431]

Question! Can a raspberry pie supercomputer be used for blender software for faster renderings! And can the raspberry pies be configured with gpus.

[@TheB1nary]

Fantastic video! Subscribed :)

[@consig1iere294]

It would be great for us regular people to see real world examples, how about a blender render in action?

[@bentleyplays125]

I would use Udp to send packets to one of the hosts, then that host sends to the next host, etc etc and then the final host with all that information processes it and sends it to the main computer

[@garyharris8082]

thank you...subbed really intersting video.

[@8bitbrainz]

But... can it run crysis?

[@simonralph7720]

Only in 480p

[@--Valek--]

@@simonralph7720 medium settings?

[@woodie07]

Maybe, but then you will have a burnt pi.

[@Miraikon]

Nothing can run crysis!

[@EvolvedApe]

i HAVE A $3000 DESKTOP AND IT STILL WONT RUN SMOOTH ON HIGHEST SETTINGS. I'm beginning to believe nothing will run crysis on highest settings. lol

[@carloslemare6060]

I love your channel!

[@GaryExplains]

You are so kind

[@theseamusexperience]

Cool video! We have a few raspberry pis laying around, this would be a fun project. Are you going to the SciPy 2019 convention in Austin?

[@GaryExplains]

No, unfortunately I am not going to SciPy.

[@philh98]

What are some use cases for a super computer of this small of a caliber? (I am a bit new to the tech scene so if this is a dumb question, that is why)

[@SwapnilLonkar]

Thanks for complete sherlock holmes on your github..

[@artgressick]

Great video!

[@XenonG]

Lemme drag up an old joke, BEOWULF CLUSTER!

[@ratmadness4858]

SlashDot refugee?

[@vapourmile]

Very good.