UPD2: spring 2023, you can buy P100 as low as 200$ on eBay. FP64 64-bit (Double Precision) Floating Point Calculations GeForce RTX 2080 Ti, estimated 0.44 TFLOPS Titan RTX, estimated 0.51 TFLOPS RTX 4090, 1.29. Incredible performance for deep learning, gaming, design, and more. From modern ones Intel ARC is interesting, but I haven't checked it myself yet (UPD it looks like there is no native support of FP64 in ARCs, removing). Introducing NVIDIA TITAN V: The World’s Most Powerful PC Graphics Card The world’s fastest desktop graphics card built upon the all new NVIDIA Volta architecture. Best performance per dollar is of Titan (Black) and 7990/7970/280x. But Titan V can’t hold a candle to Titan RTX when it. In situations where double precision matters, Titan V remains the best FP64 card out there. Anyone who would disagree is just a shill.Īlmost exhaustive list up to 0.5 TFLOPS. Where Titan RTX falls short is FP64 performance. Pure greed and crap engineering by the NVidia people who know they can shaft you if you want to do complex math ( like add and subtract ) with circa 1988 math in FP64 bits. Even worse you need a special license and driver to use a GV100 if you own one and NVidia jams you again. That is why the Keplar worked great and then the FP64 was taken away and hidden. The gamers don't give a damn because they just want pixels on the screen but anyone doing real work gets jammed hard for maximum dollars. As soon as NVidia figured out they could jam people for big money the FP64 capability suddenly went away and everything after the Keplar was sold as brain damaged. Everyone on the planet can do addition and subtraction and other operations with 64 bit floating point and it has been that way for well over 25 years. Workstation Dual-Xeon Platinum 8468 - RTX 6000 29.949,- inkl. So the ability to do IEEE754 math like the year 2008 and the original 1988 specification was removed. Other than NVLink, Titan V’s main compute functions (FP64, FP16, tensor core) are uncrippled, which makes sense as single node Titan V’s don’t quite cannibalize sales of NVIDIA’s other. NVidia figured out that scientists and engineers can be jammed for massive dollars and thus the NVidia folks simply de-tuned and killed the FP64 capability on everything they sold EXCEPT for stuff that they can sell for $10,000 and up.
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