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www.nvidia.com /en-us /drivers /nvidia-system-tools-6 _08-driver / NVIDIA System Tools (previously called nTune ) is a discontinued collection of utilities for accessing, monitoring, and adjusting system components, including temperature and voltages with a graphical user interface within Windows, rather than through the BIOS .
Unlike its predecessor, Automatic Updates can download and install updates. Instead of the five-minute schedule used by its predecessor, Automatic Updates checks the Windows Update servers once a day. After Windows Me is installed, a notification balloon prompts the user to configure the Automatic Updates client. The user can choose from three ...
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).
Nvidia develops and publishes GeForce drivers for Windows 10 x86/x86-64 and later, Linux x86/x86-64/ARMv7-A, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64. [45] A current version can be downloaded from Nvidia and most Linux distributions contain it in their own repositories.
In the middle: the FOSS stack, composed out of DRM & KMS driver, libDRM and Mesa 3D.Right side: Proprietary drivers: Kernel BLOB and User-space components. nouveau (/ n uː ˈ v oʊ /) 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.
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NVIDIA DRIVE is a computer platform by Nvidia, aimed at providing autonomous car and driver assistance functionality powered by deep learning. [1] [2] The platform was introduced at the Consumer Electronics Show (CES) in Las Vegas in January 2015. [3] An enhanced version, the Drive PX 2 was introduced at CES a year later, in January 2016. [4]
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.
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