CUDA-Enabled Processors

NVIDIA CUDA-enabled products can help accelerate the most demanding tasks—from video and audio encoding to oil and gas exploration, product design, medical imaging, and scientific research. Many CUDA programs require at least 256 MB of memory attached to the GPU. Please check your system’s specifications to ensure the GPU has enough memory to run CUDA programs.

CUDA ENABLED TESLA GPU COMPUTING PRODUCTS

TESLA WORKSTATION PRODUCTS

TESLA DATA CENTER PRODUCTS

GPU	COMPUTE CAPABILITY
Tesla C2050/C2070	2.0
Tesla C1060	1.3
Tesla C870	1.0
Tesla D870	1.0

GPU	COMPUTE CAPABILITY
Tesla M2050/M2070	2.0
Tesla S2050	2.0
Tesla S1070	1.3
Tesla M1060	1.3
Tesla S870	1.0

CUDA Enabled Quadro Products

QUADRO DESKTOP PRODUCTS

GPU	COMPUTE CAPABILITY
Quadro 6000	2.0
Quadro 5000	2.0
Quadro 4000	2.0
Quadro FX 5800	1.3
Quadro FX 5600	1.0
Quadro FX 4800	1.3
Quadro FX 4800 for Mac	1.3
Quadro FX 4700 X2	1.1
Quadro FX 4600	1.0
Quadro FX 3800	1.3
Quadro FX 3700	1.1
Quadro FX 1800	1.1
Quadro FX 1700	1.1
Quadro FX 580	1.1
Quadro FX 570	1.1
Quadro FX 470	1.1
Quadro FX 380	1.1
Quadro FX 380 Low Profile	1.2
Quadro FX 370	1.1
Quadro FX 370 Low Profile	1.1
Quadro CX	1.3
Quadro NVS 450	1.1
Quadro NVS 420	1.1
Quadro NVS 295	1.1
Quadro NVS 290	1.1
Quadro Plex 7000	2.0
Quadro Plex 2200 D2	1.3
Quadro Plex 2100 D4	1.1
Quadro Plex 2100 S4	1.0

QUADRO MOBILE PRODUCTS

GPU	COMPUTE CAPABILITY
Quadro 5000M	2.0
Quadro FX 3800M	1.1
Quadro FX 3700M	1.1
Quadro FX 3600M	1.1
Quadro FX 2800M	1.1
Quadro FX 2700M	1.1
Quadro FX 1800M	1.2
Quadro FX 1700M	1.1
Quadro FX 1600M	1.1
Quadro FX 880M	1.2
Quadro FX 770M	1.1
Quadro FX 570M	1.1
Quadro FX 380M	1.2
Quadro FX 370M	1.1
Quadro FX 360M	1.0
Quadro NVS 5100M	1.1
Quadro NVS 3100M	1.2
Quadro NVS 2100M	1.2
Quadro NVS 320M	1.1
Quadro NVS 160M	1.1
Quadro NVS 150M	1.1
Quadro NVS 140M	1.1
Quadro NVS 135M	1.1
Quadro NVS 130M	1.1

CUDA ENABLED GEFORCE PRODUCTS

GeForce 8, 9, 100, 200-series GPUs with a minimum of 256MB of local graphics memory. For example:
GEFORCE DESKTOP PRODUCTS		GEFORCE NOTEBOOK PRODUCTS
GeForce GTX 480 GeForce GTX 470 GeForce GTX 465 GeForce GTX 460 GeForce GTX 295 GeForce GTX 285 GeForce GTX 280 GeForce GTX 260 GeForce GTS 250 GeForce GT 420* GeForce GT 240 GeForce 210^* GeForce GTS 150^* GeForce GT 130^* GeForce GT 120^* GeForce G100^* GeForce 9800 GX2 GeForce 9800 GTX+ GeForce 9800 GTX GeForce 9800 GT	GeForce 9600 GT GeForce 9600 GSO 512 GeForce 9600 GSO GeForce 9500 GT GeForce 9400 GT GeForce 9400 mGPU GeForce 9300 mGPU GeForce 8800 GTS GeForce 8800 GT GeForce 8600 GTS GeForce 8600 GT GeForce 8500 GT GeForce 8400 GS	GeForce GTX 480M GeForce GTX 470M GeForce GTX 460M GeForce GT 445M GeForce GT 435M GeForce GT 425M GeForce GT 420M GeForce GT 415M GeForce GTX 285M GeForce GTX 280M GeForce GTX 260M GeForce GTS 360M GeForce GTS 350M GeForce GTS 160M GeForce GTS 150M GeForce GT 335M GeForce GT 330M GeForce GT 325M GeForce GT 130M GeForce G110M GeForce G105M GeForce 310M GeForce 305M GeForce 9800M GTX GeForce 9800M GT	GeForce 9800M GTS GeForce 9700M GTS GeForce 9700M GT GeForce 9650M GS GeForce 9600M GT GeForce 9600M GS GeForce 9500M GS GeForce 9500M G GeForce 9300M GS GeForce 9300M G GeForce 9200M GS GeForce 9100M G GeForce 8800M GTS GeForce 8700M GT GeForce 8600M GT GeForce 8600M GS GeForce 8400M GT GeForce 8400M GS

CUDA ENABLED ION PRODUCTS

	ION PRODUCTS
	ION

How Do I know if I have CUDA?

(For Windows Users)
Question: How Do I Download the Latest NVIDIA Drivers?

Answer:
1. Run the NVIDIA Control Panel from Start -> Control Panel -> NVIDIA Control Panel (shortcut: right-click on your desktop and select NVIDIA Control Panel).

2. Select Help -> System Information and look at the “Graphics card information” section (on the Display tab) to see the list of GPUs in your system.

3. Confirm that at least one of the GPUs in your system is on the CUDA-enabled processors list.

Question: How Do I Download the Latest NVIDIA Drivers?

Answer:
Open a Windows Explorer window and confirm that the file nvcuda.dll was installed with your NVIDIA drivers in the C:\windows\system32 directory. If you have a CUDA-enabled GPU but do not have the nvcuda.dll file installed on your system, you can download the latest drivers with CUDA support from www.nvidia.co.uk/drivers.

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