Updates
I. Sometimes, propriety designs prevent system improvements. This portion of post 1099, above, is a no-go: "I'm also considering ... water-cooling their [ my two 32-core systems' ] 4xE5-4650s. I cannot find any water blocks to fit them securely because the secured seating for the heatsinks are a proprietary design size. Thus, there's no way to attach the water blocks securely.
II. When your pigs get too fat, you get much less lean meat. Amazon notified me that those $800 new Titan Zs mentioned in post 1098, above, have shipped. So far - so good. The seller increased the price of them about a day ago to $900 ea. No matter if I do promptly receive them in perfect working order, the very fact that the sales prices of the Titan Zs are significantly dropping everywhere raises my concern a little and gives rise to my question, "What does Nvidia have for the next horizon?" The Z's began to dribble out in June of this year (not even 6 months ago). Even EVGA's site, which has often shown (and consistently for the last month or so shows) them as out of stock, and now shows a price drop of %50. None of the other GTXs have experienced price drops as vast so quickly. And then again, almost everyone of who I'm aware (including me) firmly believes that the Titan Zs were grossly overpriced originally. Maybe, the fat pigs are being slaughtered.
III. My OctaneRender V1.2 Benchmark rendering goal for Six GTX Titan Z = TE (original Titan Equivalency) of 15.83.
1) OctaneRender time goal for 1 GTX Titan Z: 72 sec. (render time for one of my GTX 780 Ti) / 2 = 36 Sec.
2) OctaneRender time goal for 2 GTX Titan Z: 36 sec. / 2 = 18 sec.
3) OctaneRender time goal for 4 GTX Titan Z: 18 sec. / 2 = 9 sec.
4) OctaneRender time goal for 6 GTX Titan Z: 9 sec. / 1.5*/ = 6 sec.
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Yielding a TE of 15.83 ( 95 sec [ see http://www.barefeats.com/gputitan.html ] / 6 sec = 15.83333333333333 ).
*/ You have to keep doubling the number of GPUs to cut the render time progressively in half, but I’ll be installing only six of them in a Tyan, which breaks the doubling progression by not going from 4 to 8 GPUs. That’s what accounts for that 1.5 multiple ( 6 / 4 = 1.5 ). The Tyans will also be tasked with video/film production chores. I’ll be using three of the four (non-GTX occupied) slots to assist in accomplishing those chores. In the fourth of those four (non-GTX occupied) slot will be my GT 640 4g. So in sum, my goal is to make this system render about sixteen times faster than the Titan system tested by Barefeats (using the original reference design Titan) and have more than twice the compute ability of the Google brain system aggregation [ http://www.youtube.com/watch?v=2JjxgJcXVE0 ].
I. Sometimes, propriety designs prevent system improvements. This portion of post 1099, above, is a no-go: "I'm also considering ... water-cooling their [ my two 32-core systems' ] 4xE5-4650s. I cannot find any water blocks to fit them securely because the secured seating for the heatsinks are a proprietary design size. Thus, there's no way to attach the water blocks securely.
II. When your pigs get too fat, you get much less lean meat. Amazon notified me that those $800 new Titan Zs mentioned in post 1098, above, have shipped. So far - so good. The seller increased the price of them about a day ago to $900 ea. No matter if I do promptly receive them in perfect working order, the very fact that the sales prices of the Titan Zs are significantly dropping everywhere raises my concern a little and gives rise to my question, "What does Nvidia have for the next horizon?" The Z's began to dribble out in June of this year (not even 6 months ago). Even EVGA's site, which has often shown (and consistently for the last month or so shows) them as out of stock, and now shows a price drop of %50. None of the other GTXs have experienced price drops as vast so quickly. And then again, almost everyone of who I'm aware (including me) firmly believes that the Titan Zs were grossly overpriced originally. Maybe, the fat pigs are being slaughtered.
III. My OctaneRender V1.2 Benchmark rendering goal for Six GTX Titan Z = TE (original Titan Equivalency) of 15.83.
1) OctaneRender time goal for 1 GTX Titan Z: 72 sec. (render time for one of my GTX 780 Ti) / 2 = 36 Sec.
2) OctaneRender time goal for 2 GTX Titan Z: 36 sec. / 2 = 18 sec.
3) OctaneRender time goal for 4 GTX Titan Z: 18 sec. / 2 = 9 sec.
4) OctaneRender time goal for 6 GTX Titan Z: 9 sec. / 1.5*/ = 6 sec.
-
Yielding a TE of 15.83 ( 95 sec [ see http://www.barefeats.com/gputitan.html ] / 6 sec = 15.83333333333333 ).
*/ You have to keep doubling the number of GPUs to cut the render time progressively in half, but I’ll be installing only six of them in a Tyan, which breaks the doubling progression by not going from 4 to 8 GPUs. That’s what accounts for that 1.5 multiple ( 6 / 4 = 1.5 ). The Tyans will also be tasked with video/film production chores. I’ll be using three of the four (non-GTX occupied) slots to assist in accomplishing those chores. In the fourth of those four (non-GTX occupied) slot will be my GT 640 4g. So in sum, my goal is to make this system render about sixteen times faster than the Titan system tested by Barefeats (using the original reference design Titan) and have more than twice the compute ability of the Google brain system aggregation [ http://www.youtube.com/watch?v=2JjxgJcXVE0 ].
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