Earlier quoted context omitted.
Node is an asynchronous programming framework bundled with a largely async library. If you have 40 cores on your system, you would presumably run 40 instances of node for a CPU intensive webserver(using multinode etc). So the event handler won't get stuck as long as there are available cores. What about a single core system? Well I guess a threaded/multi-process solution would time slice the fibonacci requests betwee…
The point of the original article is that there's no point in avoiding blocking on IO while allowing blocking on CPU. Furthermore, since node.js is single threaded, what's wrong with blocking on IO in that single thread? The process hangs, is put to sleep by the OS and wakes when there's IO available. You gain a simpler model of programming than using callbacks/continuations
Cpu bound is still cpu bound on any tech platform and needs another strategy to deal with it. I think it's better to look at node.js as a tool in your toolbox that is well adapted to running high load web-services and apps that are io bound instead of a swiss army-knife that does everything great.
But as any toolbox you need more tools in the box to be a good carpenter. That includes picking tech that can do the cpu bound stuff in a appropriate manner, be it java, scala, c++, erlang whatever. You don't write a graph database in node.js unless you are masochistic. Just as you hopefully don't write an async server in assembly.
From my usage perspective node.js is great for my async needs and the low resource usage means I need less hardware to scale my typical web app.