NVIDIA GPU 运算能力列表
NVIDIA GPU 运算能力列表 - 凌风探梅的专栏 - CSDN博客
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Notes
http://blog.csdn.net/real_myth/article/details/44308169
FROM： https://developer.nvidia.com/cuda-gpus
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
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
| GPU | Compute Capability |
|---|---|
| Quadro P6000 | 6.1 |
| Quadro P5000 | 6.1 |
| Quadro M6000 24GB | 5.2 |
| Quadro M6000 | 5.2 |
| Quadro K6000 | 3.5 |
| Quadro M5000 | 5.2 |
| Quadro K5200 | 3.5 |
| Quadro K5000 | 3.0 |
| Quadro M4000 | 5.2 |
| Quadro K4200 | 3.0 |
| Quadro K4000 | 3.0 |
| Quadro M2000 | 5.2 |
| Quadro K2200 | 5.0 |
| Quadro K2000 | 3.0 |
| Quadro K2000D | 3.0 |
| Quadro K1200 | 5.0 |
| Quadro K620 | 5.0 |
| Quadro K600 | 3.0 |
| Quadro K420 | 3.0 |
| Quadro 410 | 3.0 |
| Quadro Plex 7000 | 2.0 |
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Quadro Mobile Products| GPU | Compute Capability |
|---|---|
| Quadro K6000M | 3.0 |
| Quadro M5500M | 5.0 |
| Quadro K5200M | 3.0 |
| Quadro K5100M | 3.0 |
| Quadro M5000M | 5.0 |
| Quadro K500M | 3.0 |
| Quadro K4200M | 3.0 |
| Quadro K4100M | 3.0 |
| Quadro M4000M | 5.0 |
| Quadro K3100M | 3.0 |
| Quadro M3000M | 5.0 |
| Quadro K2200M | 5.0 |
| Quadro K2100M | 3.0 |
| Quadro M2000M | 5.0 |
| Quadro K1100M | 3.0 |
| Quadro M1000M | 5.0 |
| Quadro K620M | 5.0 |
| Quadro K610M | 3.5 |
| Quadro M600M | 5.0 |
| Quadro K510M | 3.5 |
| Quadro M500M | 5.0 |
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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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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.
- 1152 Kepler Cores with Compute Capability 3.0
- 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:
- Right-click on desktop
- If you see "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window, you have an NVIDIA GPU
- Click on "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window
- Look at "Graphics Card Information"
- You will see the name of your NVIDIA GPU
On Apple computers:
- Click on "Apple Menu"
- Click on "About this Mac"
- Click on "More Info"
- 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.
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