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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]
Core config – The layout of the graphics pipeline, in terms of functional units. Core clock – The reference base and boost (if available) core clock frequency. Fillrate. Pixel - The rate at which pixels can be rendered by the raster operators to a display. Measured in pixels/s.
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 Core i5-520E Core i5-5x0M Core i7-610E Core i7-6x0M
Tensor Core FP32 Accumulate Single precision (MAD or FMA) Double precision C870 GPU Computing Module [d] Tesla: May 2, 2007 1× G80 600 128 1350 — GDDR3 384 1.5 1600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1350 — GDDR3 2× 384 2× 1.5 1600 2× 76.8 No 0. ...
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.
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.
The Nvidia Hopper H100 GPU is implemented using the TSMC N4 process with 80 billion transistors. It consists of up to 144 streaming multiprocessors. [1] Due to the increased memory bandwidth provided by the SXM5 socket, the Nvidia Hopper H100 offers better performance when used in an SXM5 configuration than in the typical PCIe socket.