Cloud Provider Performance Comparison – Perl and More

[pid-1]

That's awesome.

As consumers, we really need more independent benchmarks.

Reading bullshit like "AWS FOOBAR MAKES RUNNING MACHINE LEARNING IOT FINANCIAL MEDICAL APPLICATIONS 20% FASTER" doesn't help me to architect systems.

I was looking for side project ideas, thanks for providing one.

[deltaci]

A similar comparison on CI workloads between desktop CPUs and Cloud(Azure) here: https://buildjet.com/for-github-actions/blog/a-performance-r...

[christophilus]

I'd be interested in how Vultr compares. In my experience, they provide better bang for the buck vs the ones in this list. Also, there's a decent website for such benchmarks: https://www.vpsbenchmarks.com/

[hughrr]

So what this tells me is to buy a Mac mini and throw it in the corner of the office.

[deadmutex]

I think part of the benefit you get from cloud is that if you only need 5 machines on the weekdays, but 10 machines on the weekends, you can easily scale up and down (instead of running and managing 10 machines). Another is reliability. It is not uncommon to have AWS/GCP instances stay on for years (since the underlying hardware is abstracted way), etc.

If you don't care about that, then the balances changes. If you're OK with 1 on prem server, you can just buy a AMD or Intel workstation, and tweak the hardware config (e.g. RAM, kernel, software, etc.), BIOS to your liking.

[jeffbee]

The Amazon c6i and other _6i types are very fast and put the lie to the Graviton2 cost story, however, it's instructive that at this present moment all _6i instance types are stocked out in us-east-1. So, they're fast but you can't use 'em.

[karmeliet]

To be fair, to achieve the best multi-threaded performance in Azure the Dv2/Dsv2 version provides real cores and not threads.