Each SM has 128 (CUDA) cores, 256 KB Register File Buffer, 96 KB Shared Memory unit, 48 KB L1-cache and 8 texture units. The GP104, which will be used for the GTX 1080 and GTX 1070, for example, is equipped with four GPCs (Graphic Processing Clusters), 20 Streaming Multiprocessors (SMs) and 8 memory controllers (=256-bit). The smaller versions for desktops and notebooks waive the DP units and get 128 cores per SM instead. There are also additional dedicated "Double Precision" (DP) units. The top model GP100 (for servers) gets 64 cores per SM. Depending on the model, it can use from 1 up to 60 Streaming Multiprocessors (SM), which can vary slightly. All pascal cards by default run something like 0.87v - 1.0v under gaming by default, and with a good aftermarket, multi-fan cooler on a pascal card (not founder's edition / reference) and a good high-airflow chassis you'll already be super cool by default anyway. It is a modular design and can be used in tablets (Tegra, not yet confirmed) all the way up to large server graphics cards (Tesla with the GP100). You can not go below 0 with EVGA PrecisionX, any version. The micro architecture of the Pascal chips is an advancement of Maxwell and still has a big focus on efficiency. The later announced GeForce GTX 1050 Ti and 1050 are produced in 14 nm FinFET at Samsung. All pascal cards by default run something like 0.87v - 1.0v under gaming by default, and with a good aftermarket, multi-fan cooler on a pascal card (not founder's edition / reference) and a good high-airflow chassis you'll already be super cool by default anyway. These chips are manufactured in a new 16 nm FinFET process by TSMC, which is already a big improvement over the old 28 nm GPUs. We will see the first consumer version, the GP104, in the GeForce GTX 10 sometime in May. Currently, the latter will only be used for the professional Tesla P100 card for servers. Pascal was introduced by Nvidia during the GTC 2016 in April in the big GP100 chip.
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