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
| 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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| 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 |
************************************************************************************************************
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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| 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.
- 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.
本文详细列出了 NVIDIA 各系列 GPU 的计算能力,包括 Tesla、Quadro、NVS、GeForce 和 Tegra/Jetson 系列,涵盖工作站、数据中心、专业可视化、桌面及笔记本电脑等应用领域的 GPU 产品,旨在帮助用户了解 NVIDIA GPU 在加速计算任务方面的强大性能。
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