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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 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]
Architecture – The microarchitecture used by the GPU. Fab – Fabrication process. Average feature size of components of the GPU. Transistors – Number of transistors on the die. Die size – Physical surface area of the die. Core config – The layout of the graphics pipeline, in terms of functional units.
Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.
Core i3-5x0 733 21.3 Yes Core i5-6x0 Core i5-655K Core i5-661 900 Laptop Ironlake Celeron U3xxx 0046 166–500 12.8 No Pentium U5xxx Core i3-3x0UM Yes Core i5-5x0UM Core i7-6x0UE Core i7-6x0UM Core i7-620LE 266–566 17.1 Core i7-6x0LM Celeron P4xxx 500–667 No Pentium P6xxx Core i3-330E Yes Core i3-3x0M Core i5-4x0M 500–766
The GeForce 20 series is a family of graphics processing units developed by Nvidia. [8] Serving as the successor to the GeForce 10 series, [9] the line started shipping on September 20, 2018, [10] and after several editions, on July 2, 2019, the GeForce RTX Super line of cards was announced.
However, unlike other examples of Nvidia GPUs with differing memory configurations within the same class which have typically been very close in processing performance, the RTX 4080 12GB uses a completely different processing unit and memory architecture: the 4080 12GB would use the AD104 die, which features 27% fewer CUDA cores than the 16GB ...
The Tensor cores perform the result of deep learning to codify how to, for example, increase the resolution of images generated by a specific application or game. In the Tensor cores' primary usage, a problem to be solved is analyzed on a supercomputer, which is taught by example what results are desired, and the supercomputer determines a ...