NVIDIA GPU运算能力与CUDA显卡驱动

如今GPU是下一代硬件算力的主要支持者,而Nvidia在这一领域优势一家独大。在做深度学习工作时,免不了查看显卡信息,同时需要安装其对应的驱动软件CUDA。

下面先来一张2019显卡天梯图:

在这里插入图片描述

最新信息见:https://developer.nvidia.com/cuda-gpus

NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers.

Find out all about CUDA and GPU Computing by attending our GPU Computing Webinars and joining our free-to-joinCUDA Registered developer Program.

  • Learn about Tesla for technical and scientific computing
  • Learn about Quadro for professional visualization

If you have an older NVIDIA GPU you may find it listed on our legacy CUDA GPUs page
Click the sections below to expand

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1) CUDA-Enabled Tesla Products

Tesla Workstation Products

GPU Compute Capability
Tesla K80 3.7
Tesla K40 3.5
Tesla K20 3.5
Tesla C2075 2.0
Tesla C2050/C2070 2.0

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Tesla Data Center Products

GPU Compute Capability
Tesla P100 6.0
Tesla P40 6.1
Tesla P4 6.1
Tesla M40 5.2
Tesla M40 5.2
Tesla K80 3.7
Tesla K40 3.5
Tesla K20 3.5
Tesla K10 3.0


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2) CUDA-Enabled Quadro Products

Quadro Desktop Products

 

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Quadro Mobile Products

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3) CUDA-Enabled NVS Products

Desktop Products

GPU Compute Capability
NVIDIA NVS 810 5.0
NVIDIA NVS 510 3.0
NVIDIA NVS 315 2.1
NVIDIA NVS 310 2.1

 

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Mobile Products

GPU Compute Capability
NVS 5400M 2.1
NVS 5200M 2.1
NVS 4200M 2.1

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4) CUDA-Enabled GeForce Products

GeForce Desktop Products

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5) CUDA-Enabled TEGRA /Jetson Products

GeForce Notebook Products

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6) Tegra Mobile & Jetson Products

Tegra Mobile & Jetson Products

GPU Compute Capability
Jetson TX1 5.3
Jetson TK1 3.2
Tegra X1 5.3
Tegra K1 3.2


Notes

(*) OEM-only products

(**) The GeForce GTX860 and GTX870 come in two versions depending on the SKU, please check with your OEM to determine which one is in your system.

  1. 1152 Kepler Cores with Compute Capability 3.0
  2. 640 Maxwell Cores with higher clocks and Compute Capability 5.0 or 5.2
     

Frequently Asked Questions

1) How can I find out which GPU is in my computer?

Answer:

On Windows computers:

  1. Right-click on desktop
  2. If you see "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window, you have an NVIDIA GPU
  3. Click on "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window
  4. Look at "Graphics Card Information"
  5. You will see the name of your NVIDIA GPU

On Apple computers:

  1. Click on "Apple Menu"
  2. Click on "About this Mac"
  3. Click on "More Info"
  4. Select "Graphics/Displays" under Contents list

2) Do I have a CUDA-enabled GPU in my computer?

Answer: Check the list above to see if your GPU is on it. If it is, it means your computer has a modern GPU that can take advantage of CUDA-accelerated applications.

3) How do I know if I have the latest drivers?

Answer: Go to www.nvidia.com/drivers

4) How can I obtain a CUDA-enabled GPU or system?

Answer:
For Tesla for HPC and supercomputing applications, go to www.nvidia.com/object/tesla_wtb.html
For GeForce for entertainment, go to www.nvidia.com/object/geforce_family.html
For Quadro for professional visualization, go to www.nvidia.com/object/workstation_wheretobuy.html

5) How can I download the CUDA software development kit?

Answer: Go to CUDA Development Tools.

最新信息见:https://developer.nvidia.com/cuda-gpus

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转载自blog.csdn.net/edward_zcl/article/details/84897927