Slashdot Mirror
Google's Compute Engine Now Offers Machines With Up To 64 CPU Cores, 416GB of RAM (techcrunch.com)
An anonymous reader shares a TechCrunch report: Google is doubling the maximum number of CPU cores developers can use with a single virtual machine on its Compute Engine service from 32 to 64. These high-power machines are now available in beta across all of Google's standard configurations and as custom machine types, which allow you to select exactly how many cores and memory you want. If you opt to use 64 cores in Google's range of high-memory machine types, you'll also get access to 416GB of RAM. That's also twice as much memory as Compute Engine previously offered for a single machine and enough for running most memory-intensive applications, including high-end in-memory databases. Running your apps on this high-memory machine will set you back $3.7888 per hour (though you do get all of Google's usual sustained-use discounts if you run it for longer, too).
I'll have to check out this Google offering too, but since this is pretty relevant topic to stuff I've been doing recently - another online option is FloydHub. They are cheaper than AWS, and I like them because they bill per second of use, and you can choose to use GPU or CPU services (the CPU seems kind of slow). They also have really nice support for python and Jupyter notebooks running on the server, along with the ability to upload large datasets (for machine learning jobs) and an API for programatic access to the computational services.
It's mainly targeted to deep learning stuff so if you need GPU for other things it may not be as useful. But if you are playing with Deep Learning this kind of service makes training models way more feasible for those of us who normally do not buy really expensive GPU's. It'a also nice to do what you can to support companies trying to go up against Amazon or Google, and the FloydHub people have been very responsive to questions I have asked.
"There is more worth loving than we have strength to love." - Brian Jay Stanley
Worst. Haiku. Ever.
"There is more worth loving than we have strength to love." - Brian Jay Stanley
Slowwwwly closing in on Amazon's X1 instance which offers 1952 GiB RAM and 128 vCPUs at ~$13.338 per hour (dynamic pricing). Google may catch up in a year or two.....
Thanks for the fake news article which is actually an advertisement. Slashdot has plunged so far.
I need 417 GB of ram and 65 cores. Oh well, back to the drawing board.
Hi! I make Firefox Plug-ins. Check 'em out @ https://addons.mozilla.org/en-US/firefox/addon/youtube-mp3-podcaster/
Are these actual CPU cores, or just hyper-threads like with Amazon's AWS? If these are still in Google's "n1" class then by their own documentation they are indeed hyper-threaded.
Hyper-threaded virtual cores, while nice for desktop i7s, are nearly useless for large-scale compute jobs using the likes of ACML, MKL or MPI.
If these really are hyper-threads rather than physical cores then you're only going to get 32 real threads of compute performance and should pay for such.
One limitation of "the cloud" (also called "other peoples' servers") for many HPC applications is the data transfer costs. Transfering data in is cheap or free, but getting your data out again is anything but. Even if the cpu-hours would be cheap enough, it's usually cost-prohibitive to transfer a few tens of gigabytes of results out of the server and back home for each job.
Trust the Computer. The Computer is your friend.
An orange old man outvote
He lived with a very odd goat
The goat didn't fuck
So he gave it a buck
He says the media misquote
Human Rights, Article 12: Freedom from Interference with Privacy, Family, Home and Correspondence
Be fair. writing posts
in seventeen syllables
is very diffic
Amazon tells you here what processors each instance type is running on. Looks like they are using Xeon, which really isn't that surprising.
Slashdot still doesnâ(TM)t support Unicode after it was added to the HTML standard in 1997.