It would seem weird for a company to have such a high-end GPU be paired with Teslas that have such a significant difference in FP64 compute.
While NVIDIA would definitely know their own market better than I do, I was under the impression that a common workstation system for GPU compute was a Quadro driving a few Teslas ( such as two of these). The lack of double precision performance (IEEE 754 FP64) could be disappointing for some. That is probably true, but I wouldn't put it past someone to do something spiteful given recent events. Technically, with its 250W TDP, it is slightly over the rating for one eight-pin PCIe connector, but NVIDIA told Anandtech that they're confident that it won't matter for the card's intended systems. The add-in board connects to the power supply with just a single eight-pin plug.
Nvidia quadro m6000 upgrade#
That might be the only hardware difference between it and the Titan X.Ĭompared to other Quadro cards, it loses some double precision performance as mentioned earlier, but it will be an upgrade in single precision (FP32). The memory, but not the cache, is capable of ECC (error-correction) for enterprises who do not want a stray photon to mess up their computation.
In terms of hardware, they are basically the same component: 12 GB of GDDR5 on a 384-bit memory bus, 3072 CUDA cores, and a reduction in double precision performance to 1/32nd of its single precision. Alongside the Titan X, NVIDIA has announced the Quadro M6000.
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