Donald,

I have spun up Sun x4100 dual core, dual processor to 100% processor usage and normal HD writes and measured the actually powerusage at 267 watts. Obviously higher than normal HD usage (such as swapping) would drive the number up, but I was very pleased with these results as well as those of the x2200 machines.


These tests were made with CentOS 4 installed.


Mike Davis



Donald Becker wrote:
On Tue, 10 Jul 2007, Jon Bernard wrote:


Vendor A estimates that at peak load a compute node with two AMD 2216s,
4 GB of 667 DDR2 RAM, a hard drive, and an IB board will draw 265 watts.
Vendor B estimates that such a node will draw 450 watts.


Considering that the regular 2216 is 95W peak (the 'HE' version is about 65W), and the memory and IB card are both pretty warm, 265 watts is unrealistic. Multiply a realistic max power by a power supply efficiency and you'll get about 450 watts.

There is way to get that lower number: 2216HE processors, and very efficient (93% would be exceptional, high 80s more realistic) power supplies. But that will be significantly more expensive. Easily enough $$ that you would know if that's what you are buying. (We use 'HE' processors, special memory and highly-efficient power supplies in our blade systems to make the thermals work, and system price/MIPS looks pretty bad compared to standard 1U products.)

The chipsets and base processors are same between vendors, and the IB cards and disks are about the same. The memory power use will vary a bit, but you might get different numbers between the sample and shipped nodes. The biggest variation will be the power supply efficiency. And even there it will be vary significantly with the power draw.

We've measured between 50% and 93% efficiency. The worst are the supplies in old generic 1U cases, which hopefully we won't see again. There is a significant cost difference between today's low-end, low-efficiency supplies and the better 80+% units. Doing an extra conversion e.g. to 50VDC then to the final board voltage, won't improve the overall numbers, but will move the conversion and thermals to "behind the curtain".

We could get into an interesting discussion about the best way to decrease the typical power use of a cluster. The best way to do this is with software -- laptop-style power control, and powering nodes down. But when purchasing and installing clusters you have to design for that long-running job that stays at the peak power draw and thermal state of the cluster.



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