Only the PDP-10 has been replaced by Google.
Back in the 1980s, a personal computer was loaded with an operating system that could only support a single user. A "mainframe" was a system that could support more than one user at a time, and you'd connect to it using telnet.
Today, your Linux PC loaded with SSH effectively functions as a mainframe. Heck, you can load virtual machines that themselves can pretend to be mainframes from the 1970s. Heck... your cell phone uses this feature and pretends that apps are different users for maximum security.
----
In contrast: GPUs are simply the 1980s style SIMD super-computers. It turns out SIMD Supercomputer style was the fastest way to calculate where pixels go on the screen (Conceptually: each pixel-shader basically gets to run its own thread: so a 1920x1080 screen has 2073600 threads to run per frame)
The best architecture to run millions of simple threads is a GPU or SIMD-computer (See https://en.wikipedia.org/wiki/Connection_Machine)
> The CM-1, depending on the configuration, has as many as 65,536 individual processors, each extremely simple, processing one bit at a time.
May be a terminology thing, or a technology I don't know, but I though '80s supercomputers like crays were vector processors, whereas I'm not aware of any commercial super at the time being SIMD (AKA array processor).
A vector processor as I understood it is nicely described here <https://www.quora.com/What-is-meant-by-an-array-processor-an... as "the earliest Crays had vector instructions, that quickly fed a stream of operands through a pipelined processor", which is not exactly the same implementation as SIMD, but after reflecting on your question, it does the same thing in the end.
So effectively no difference.
Also relevant <https://arstechnica.com/civis/viewtopic.php?t=401649> see reply of Accs who claims to have worked at cray, and also says in another post on the same thread "I think that Vector is nothing more than a special case of SIMD".
So, my error, hope above helps.
FYI you might want to read up on systolic arrays just for fun <https://en.wikipedia.org/wiki/Systolic_array>.
@tntn: thanks, my carelessness.
And, well, you know, “words”... whatever works :-D
Network requests are always very slow when compared to processor speed. You can buy a device for 1/500 the cost of a server, put it in your closet, and it will be faster at almost every task than offloading to the "cloud".
I work tangential to the Telecom space, and all anyone cares about is the "edge" i.e. Consumer Premise Equipment and the like. With how cheap computer power is and how high network latency is, having centralized datacenters has become less and less desirable.