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Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

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Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#61

Post by nsky-world »

russell_h wrote: post #51
nsky-world wrote: post #2

Today we are thrilled to announce the Turing Pi V2. The Turing Pi V2 is s compact cluster in a mini ITX form factor with 4 x cluster nodes, 2x mini PCIe (Gen 2) ports, 2x SATA (Gen 3) ports, and new Raspberry Pi compute modules 4 support. The Turing Pi 2 cluster is architecturally similar to the AWS Graviton clusters. The CM4 processor uses the ARMv8 architecture. You can build images and applications for AWS instanc…

This is very neat. I’m sorry if I missed it, but have you announced pricing?

We are expecting the price to be cheaper than the V1, but the final price will be announced later this year.

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#62

Post by dogma1138 »

barumi wrote: post #38
dogma1138 wrote: post #21

Besides academic uses to perhaps teach distributed systems on these are there any real world use cases for these clusters?

>>Besides academic uses to perhaps teach distributed systems on these are there any real world use cases for these clusters? A considerable amount of people is already assembling and running clusters of raspberry pis, including hosting companies. A cursory search through eBay or Amazon can provide you with an idea of how many people are already operating these small clusters and spending money on this sort of setup.…

I know people are building these the questions is for what, CI/CD for ARM like others mentioned is plausible but only if you are targeting the Pi or something very similar just due to how “fragmented” the ARM ecosystem is with its multiple uArchs.

If you are building for mobile then it doesn’t makes sense to run CI/CD on the Pi and if you are targeting your own bespoke edge then likely having dev boards which can represent your edge hardware more accurately is probably going to be a better way.

Running CI/CD for ARMLinux apps is pretty much the only use case I can think of and even that might be limited if you are using extensions.

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#63

Post by capt_hotpants »

Any thoughts on keeping accurate RTC time on these things at sites with poor internet connectivity, weird latency or restrictions on outbound NTP?

I'm thinking a nice addition would be a small module to plug on top of the 40-pin GPIO connector with a GPS receiver in it and an antenna attached. The attached node could run NTP and pull accurate time from satellites. Throw in 3 of the modules, and NTP can use quorum to keep the time accurate even if one GPS module fails.

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#64

Post by [deleted] »

nsky-world wrote: post #2

Today we are thrilled to announce the Turing Pi V2. The Turing Pi V2 is s compact cluster in a mini ITX form factor with 4 x cluster nodes, 2x mini PCIe (Gen 2) ports, 2x SATA (Gen 3) ports, and new Raspberry Pi compute modules 4 support. The Turing Pi 2 cluster is architecturally similar to the AWS Graviton clusters. The CM4 processor uses the ARMv8 architecture. You can build images and applications for AWS instanc…

[deleted]

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#65

Post by boris »

nsky-world wrote: post #2

Today we are thrilled to announce the Turing Pi V2. The Turing Pi V2 is s compact cluster in a mini ITX form factor with 4 x cluster nodes, 2x mini PCIe (Gen 2) ports, 2x SATA (Gen 3) ports, and new Raspberry Pi compute modules 4 support. The Turing Pi 2 cluster is architecturally similar to the AWS Graviton clusters. The CM4 processor uses the ARMv8 architecture. You can build images and applications for AWS instanc…

On the page you mention CI/CD applications and we are considering using Raspberry Pi for our CI infra (for the lack of a more powerful option). While there are various possible setups, one fairly common arrangement (especially in a more public-facing services) is to start a throw-away VM for each CI request. This is how our CI service works and you can see it here[1] in action.

And while it would have been nice to use Turing Pi, it does not appear to fit our requirements very well because we need to have high-performance storage attached to each node (where we store/run the VMs). An ideal board for us would be a network switch plus for each module a PCIe (or better yet, NVMe) slot and USB 2.0 ports (at least 2x).

[1] https://ci.cppget.org

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#66

Post by jmnicolas »

capt_hotpants wrote: post #63

Any thoughts on keeping accurate RTC time on these things at sites with poor internet connectivity, weird latency or restrictions on outbound NTP? I'm thinking a nice addition would be a small module to plug on top of the 40-pin GPIO connector with a GPS receiver in it and an antenna attached. The attached node could run NTP and pull accurate time from satellites. Throw in 3 of the modules, and NTP can use quorum to…

I can't think of anything better than a GPS receiver.

About 10 years ago we had a legacy system that was using a weird shaped (think UFO spaceship) FM radio receiver to get time. I never understood why our provider chose that over a simple USB GPS receiver.

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#67

Post by draklor40 »

ianhowson wrote: post #39
nsky-world wrote: post #34

Earlier quoted context omitted.

So your question what's the advantage of cluster comparing to one processor unit?

You could get an off-the-shelf x86 machine in the same form factor and run the cluster nodes in VMs, for instance. Maybe you could argue that four RPis on a network are more reliable than a single x86 with VMs, but that doesn't seem to be the point of this machine.

There is nothing in the schematics about multiple power supplies or battery backups, etc. If you are hooking up all 4 rpis to the same power source , might as well replace it with one x86 processor.

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#68

Post by draklor40 »

nsky-world wrote: post #42
ianhowson wrote: post #39

Earlier quoted context omitted.

You could get an off-the-shelf x86 machine in the same form factor and run the cluster nodes in VMs, for instance. Maybe you could argue that four RPis on a network are more reliable than a single x86 with VMs, but that doesn't seem to be the point of this machine.

That's one of the point too. We have industrial customers who deploy apps in the places with a limited access to the internet, so increased reliability something important to them. Another thing is that they can host apps with different purposes on different nodes in containers. Besides that all the infrastructure could be managed with a tool like Kubernetes and organically work with existing cloud infrastructure. An…

Theoretically yes, but there seem to be only 2 PCIe (and probably x1 slots). And the interconnect will be quite slower (I suspect) btw. the modules. All those GPIO pins are gonna be wasted and if I am going to commercially deploy containers for customers, I'd rather get a solid industrial Ryzen/Intel fanless solution and call it a day

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#69

Post by theandrewbailey »

nsky-world wrote: post #2

Today we are thrilled to announce the Turing Pi V2. The Turing Pi V2 is s compact cluster in a mini ITX form factor with 4 x cluster nodes, 2x mini PCIe (Gen 2) ports, 2x SATA (Gen 3) ports, and new Raspberry Pi compute modules 4 support. The Turing Pi 2 cluster is architecturally similar to the AWS Graviton clusters. The CM4 processor uses the ARMv8 architecture. You can build images and applications for AWS instanc…

Are those USB 3 ports? or USB 2? Do they belong to any particular node?

Re: Show HN: Turing Pi 2 – a compact ARM cluster with 32 GB RAM

#70

Post by k1e »

nsky-world wrote: post #61
russell_h wrote: post #51

Earlier quoted context omitted.

This is very neat. I’m sorry if I missed it, but have you announced pricing?

We are expecting the price to be cheaper than the V1, but the final price will be announced later this year.

Excuse me, whats the price of V1? Cant find it on your website.
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