One of NVIDIA ‘s line of Tesla HPC cards, the Tesla K10 has actually been seen in the wild.  the new Tesla series is split between the GK104 based K10 model specifically designed for single-precision tasks and the GK110 based Tesla K20 and it is optimized for double-precision tasks.  The K10 is capable of 4.58 teraflops thanks to a pair of GK104s with 8GB of GDDR5, whereas the K20 should in theory double Intel’s Xeon Phi at 2 teraflops of double-precision performance but that has yet to be demonstrated.  The K10 that was demonstrated also showed off another of the benefits of NVIDIA’s new architecture, even with two GPUs the card remains within a 225W thermal envelop, something that is incredibly important if you are building a cluster.  The Register has gathered together some of the benchmarks and slides from NVIDIA’s release, which you can see here.

"The Top 500 supercomputer ranking is based on the performance of machines running the Linpack Fortran matrix math benchmark using double-precision floating point math, but a lot of applications will do just fine with single-precision math. And it is for these workloads, graphics chip maker and supercomputing upstart Nvidia says, that it designed the new Tesla K10 server coprocessors."

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