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The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
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The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package will download and install the proprietary NVIDIA CUDA Toolkit.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
for C and C++ developers building GPU-accelerated applications.
The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package will download and install the proprietary NVIDIA CUDA Toolkit.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
for C and C++ developers building GPU-accelerated applications.
The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package will download and install the proprietary NVIDIA CUDA Toolkit.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
for C and C++ developers building GPU-accelerated applications.
The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package will download and install the proprietary NVIDIA CUDA Toolkit.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
for C and C++ developers building GPU-accelerated applications.
The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package will download and install the proprietary NVIDIA CUDA Toolkit.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment
for C and C++ developers building GPU-accelerated applications.
The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries,
and tools for debugging and optimizing the performance of your applications.
You?ll also find programming guides, user manuals, API reference,
and other documentation to help you get started quickly accelerating
your application with GPUs.

https://developer.nvidia.com/cuda-toolkit</description>
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  <description>This package contains the framework for the Dynamic
Kernel Module Support (DKMS) method for installing
module RPMS as originally developed by Dell.</description>
  <packager/>
  <url>http://linux.dell.com/dkms</url>
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Kernel Module Support (DKMS) method for installing
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  <summary>Installer for the graphics driver kernel module for GeForce 6xxx and newer GPUs</summary>
  <description>This package will download and install the proprietary NVIDIA
Accelerated Linux Graphics Driver that brings accelerated 2D functionality
and high-performance OpenGL support to Linux x86 with the
use of NVIDIA graphics processing units (GPUs).

These drivers provide optimized hardware acceleration for OpenGL and X
applications and support nearly all recent NVIDIA GPU products
(see README.txt, Appendix A for a complete list of supported GPUs).
TwinView, TV-Out and flat panel displays are also supported.

http://www.nvidia.com</description>
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