![quadro versus geforce quadro versus geforce](https://i.ytimg.com/vi/uwCu-b7htV8/maxresdefault.jpg)
for development: GeForce (unless you absolutely need >1.5 Gb memory).Proper cooling is very important, as well as avoiding overclocked cards including factory overclokced models (see Figure 1 of the previously mentioned paper). My experience is that GeForce cards tend to be less reliable, especially at constant hight load.
![quadro versus geforce quadro versus geforce](https://www.beyond3d.com/images/reviews/quadrog8x/fx570-big.jpg)
NVIDIA claims that Tesla cards are QC-d for 24/7 use.Ī recent paper ( Haque and Pande, Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU) suggests that Tesla is indeed less error prone. Tesla and Quadro are (supposed to be) more thoroughly tested and therefore less prone to produce errors that are pretty much irrelevant in gaming, but when it comes to scientific computing, just a single bit flip can trash the results. Crippling the GeForce line is meant to give the Tesla line an advantage in HPC GTX 480 is in fact faster than Tesla 20x0 - 1.34TFlops vs 1.03 TFlops, 177.4 Gb vs 144 Gb/sec (peak). Yet another market segmentation trick, quite popular nowadays among hardware manufacturers.
#QUADRO VERSUS GEFORCE SERIES#
GF10x series cards have their double precision (FP64) performance capped at 1/8-th of the single precision (FP32) performance, while the architecture is capable of 1/2. Consumer cards ATM have max 1.5 Gb (GTX 480) while Teslas and Quadros up to 6 Gb. If you need lots of memory than you need Tesla or Quadro. I'm not going to go into detail about the differences between Quadro and GeForce cards, but I will just underline the significant points which can contribute in choosing between them. raytracing) than the answer to your question is slightly more simple, but not trivial. If you neither care about visualization nor rendering (drawing final results on screen e.g.