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The GeForce 30 series is a suite of graphics processing units (GPUs) designed and marketed 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] Through Nvidia RTX, hardware -enabled real-time ...
Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU.
nouveau (/ nuːˈvoʊ /) is a free and open-source graphics device driver for Nvidia video cards and the Tegra family of SoCs written by independent software engineers, with minor help from Nvidia employees. The project's goal is to create an open source driver by reverse engineering Nvidia's proprietary Linux drivers.
Nvidia NVDEC (formerly known as NVCUVID[1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2]
Nvidia RTX. A Nvidia GeForce RTX 2080 in the Founders Edition, released in 2018. The GPUs of the GeForce 20 series were the first of Nvidia's RTX line of hardware. 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 ...
A free and open-source graphics device driver is a software stack which controls computer-graphics hardware and supports graphics-rendering application programming interfaces (APIs) and is released under a free and open-source software license. Graphics device drivers are written for specific hardware to work within a specific operating system ...
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [3] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.