Intel slashes prices of Xeon 6 CPUs by up to $5,340
tomshardware.com
tomshardware.com
Curious if anyone has had success building dual socket GNR or Turin servers at home - seems motherboard availability is limited for retail customers. Also curious if anyone still sees Intel outperformance in any context, eg relating to AVX-512 or MKL workloads.
256 cores can be 256 levels of misery depending on where and how you install it. :)
Some of us get crazy with our homelabs. The love of technology is enough of a motivator.
It's cold in my office today. I'm considering that I could use more cores, crunch some ML stuff locally instead of in the cloud, and solve two problems at once. The thermostat for the heater is allllll the way downstairs after all :D
Taking advantage CPU architecture still goes a long way. Yes, AMD is generally faster in SPEC and general purpose loads (and I root for AMD since forever), but when you write your application with a target microarchitecture, the results can be completely different.
We have some scientific applications where newer versions work slower than previous versions on older hardware, but the situation completely changes if you compile both on a period-correct hardware for the newer version.
ASM/Hand tuning is both a blessing and a curse.
Is the subtitle simply wrong? The only way I can make sense of it is to suppose it refers to the price if you actually attempt to acquire a Xeon as opposed to the MSRP (if that is even the right term in this space).
If you're not going to go full-throttle all day, every day, having SMP is good. For an homelab environment, I think 65W-95W band is ideal if you want to keep noise and heat output manageable.
While it brings some performance hit, enabling frequency-scaling (SpeedStep in older parlance) is beneficial. Using a 2U server will bring noise lower since you won't be using, counter propeller, 10KRPM 40-50mm fans.
If you want especially quiet servers when they're not under load, look at Dell PowerEdge. They run like sleeping cats when idle / lightly loaded, but scream like an agitated parrot if you heat them up.
Lastly, a good way to maximize performance without too much power consumption is using an "optimal" RAM configuration which utilizes all channels with homogeneous RAM modules.
We do the exact opposite since we're going "full throttle all day, every day", so I can't give you numbers on that front.
I need to get disks, though. That was not part of the deal.
However I won't be installing that thing at home. I'm not that mad, yet.
What do you do instead? Colocation rental in a DC?
It'll be a project-centric server. Not a general purpose one. For smaller tasks, N100 and RaspberryPi/OrangePi 5 series are more than sufficient.
I put my farm under the roof, in a properly enclosed rack. No noise and I'll also get some fire alarms to cut the power feed to the rack in case something goes bonkers up there.
(Any recommendations on CO2 extinguisher systems welcome)
I have no idea on CO2 extinguishers, sorry.
I got them as they were the cheapest path to 128GB support (in ~2014) and they're still useful today. I run one NAS/VM/home automation box and one Jupyter box with an nvidia GPU in it. They never complain. Neither does my power bill.
One can dream...
They are first cousins (once removed).
https://support.ancestry.co.uk/s/article/Understanding-Kinsh...
Nvidia has 9x(!) the discrete GPU marketshare as AMD. Nine times! AMD cutting prices would help them increase that.
In any case, AMD is clearly focusing on data center applications and is starting to enjoy some inroads there.
This is such a surface-level factor in the discussion that I don't even know why you'd be offering your advice on Nvidia if you can't tell why people own their hardware in the first place. We've been having this GPGPU discussion for like 12 years at this point... people insisting on their opinions without understanding what Nvidia does is how we got in this mess in the first place.
Even when they had a better product (more than a decade ago), Nvidia was still outselling AMD, think of the Nvidia Fermi and Tesla, and at higher margin.
Since then they are just like "what's the point?" and AMD stopped bothering.