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Core config – The layout of the graphics pipeline, in terms of functional units. Over time the number, type, and variety of functional units in the GPU core has changed significantly; before each section in the list there is an explanation as to what functional units are present in each generation of processors.
The GeForce 500 series is a series of graphics processing units developed by Nvidia, as a refresh of the Fermi based GeForce 400 series. It was first released on November 9, 2010 with the GeForce GTX 580. Its direct competitor was AMD's Radeon HD 6000 series; they were launched approximately a month apart.
The ability to build a system with just one graphics card, and still have it be feature-complete for the time, made the RIVA 128 a lower-cost high-performance solution. Nvidia equipped the RIVA 128 with 4 MiB of SGRAM, a new memory technology for the time, clocked at 100 MHz and connected to the graphics processor via a 128-bit memory bus. [2]
Fermi is the oldest microarchitecture from Nvidia that receives support for Microsoft's rendering API Direct3D 12 feature_level 11. Fermi was followed by Kepler, and used alongside Kepler in the GeForce 600 series, GeForce 700 series, and GeForce 800 series, in the latter two only in mobile GPUs.
Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020, and is named after French mathematician and physicist André-Marie Ampère.
Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.
GeForce 256 (NV10) GPU Quadro (NV10GL) GPU Die shot of an NV10 GPU. GeForce 256 was marketed as "the world's first 'GPU', or Graphics Processing Unit", a term Nvidia defined at the time as "a single-chip processor with integrated transform, lighting, triangle setup/clipping, and rendering engines that is capable of processing a minimum of 10 million polygons per second".
Nvidia claims a 128 CUDA core SMM has 86% of the performance of a 192 CUDA core SMX. [9] Also, each Graphics Processing Cluster, or GPC, contains up to 4 SMX units in Kepler, and up to 5 SMM units in first generation Maxwell. [9] GM107 supports CUDA Compute Capability 5.0 compared to 3.5 on GK110/GK208 GPUs and 3.0 on GK10x GPUs. Dynamic ...
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related to: nvidia optimus or gpu only has 500 gb of storage units