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Re:SSDs Have Become Fast, Except in the Cloud by jsnell on Tuesday February 20, 2024 @03:57PM (#39446809)
I've linked to public documentation that is pretty clearly in conflict with what you said. There's no wiggle room in how AWS describes their service without it being false advertising. There's no "ah, but what if we define the entire building to be the host computer, then the networked SSDs really are inside the host computer" sleight of hand to pull off here.

You've provided cryptic hints and a suggestion to watch some unnamed presentation.

At this point I really think the burden of proof is on you.

Re:SSDs Have Become Fast, Except in the Cloud by stingraycharles on Tuesday February 20, 2024 @09:31PM (#39449527)
You are correct, and the parent you’re replying to is confused. Nitro is for EBS, not the i3 local NVMe instances.

Those i3 instances lose your data whenever you stop and start them again (ie migrate to a different host machine), there’s absolutely no reason they would use network.

EBS itself uses a different network than the “normal” internet, if I were to guess it’s a converged Ethernet network optimized for iSCSI. Which is what Nitro optimizes for as well. But it’s not relevant for the local NVMe storage.

Re:SSDs Have Become Fast, Except in the Cloud by MichaelZuo on Wednesday February 21, 2024 @10:42AM (#39455152)
The argument could also be resolved by just getting the latency numbers for both cases and compare them, on bare metal it shouldn't be more than a few hundred nanoseconds.
Re:SSDs Have Become Fast, Except in the Cloud by fcsp on Wednesday February 21, 2024 @02:47AM (#39451140)
I see wiggle room in the statement you posted in that the SSD storage that is physically inside the machine hosting the instance might be mounted into the hypervised instance itself via some kind of network protocol still, adding overhead.
Re:SSDs Have Become Fast, Except in the Cloud by eek2121 on Wednesday February 21, 2024 @04:19PM (#39459703)
At minimum, the entire setup will be virtualized, which does add overhead.