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can still be gained with a more specific design. The [[memory access pattern]] of AI calculations differs from graphics, with more a more predictable but deeper [[dataflow]] (benefiting from the ability to keep more temporary variables on-chip); GPUs by contrast devote silicon to efficiently dealing with non-linear [[memory access pattern#GATHER_SCATTER|gather-scatter]] addressing (between textures and frame buffers), and [[texture filtering]], as needed for 3D rendering.
As of 2016, the field is still in flux and vendors are pushing their own terms, in the hope that their designs and [[API]]s will dominate. In the past after [[graphics accelerator]]s emerged, the industry eventually adopted [[NVidia]]s self assigned term "[[GPU]]" as the collective noun for "graphics accelerators", which had settled on an overall pipeline patterned around [[Direct3D]]. There is no consensus on the boundary between these devices, nor the exact form they will take, however several examples clearly aim to fill this new space.
=== Examples ===
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