(GPU Computing) NVIDIA CUDA Compute Capability Comparative Table

NVIDIA - GPU Computing

NVIDIA CUDA


Updated on June 9, 2011: GTX 500 and CUDA 4.0 compute capabilities features.

The Compute Capability describes the features supported by a CUDA hardware. First CUDA capable hardware like the GeForce 8800 GTX have a compute capability (CC) of 1.0 and recent GeForce like the GTX 480 have a CC of 2.0. Knowing the CC can be useful for understanting why a CUDA based demo can’t start on your system.

Here is a comparative table that will help you to know the CC of your NVIDIA graphics card:

Multiprocessors CUDA cores Compute Capability
GeForce GTX 680 8 1536 3.0
GeForce GTX 590 2 x 16 2 x 512 2.0 (R280.28)
GeForce GTX 580 16 512 2.0
GeForce GTX 570 15 480 2.0
GeForce GTX 560 Ti 8 384 2.1
GeForce GTX 560 7 336 2.1
GeForce GT 440 2 96 2.1
GeForce GTX 480 15 480 2.0
GeForce GTX 470 14 448 2.0
GeForce GTX 465 11 352 2.0
GeForce GTX 295 2×30 2×240 1.3
GeForce GTX 280/GTX 285 30 240 1.3
GeForce GTX 260 24 192 1.3
GeForce 210 2 16 1.2
GeForce GT 240 12 96 1.2
GeForce GT 220 6 48 1.2
GeForce GT 130 12 96 1.1
GeForce GT 120 4 32 1.1
GeForce GTS 250 16 128 1.1
GeForce 9800 GX2 2×16 2×128 1.1
GeForce 9800 GTX 16 128 1.1
GeForce 9800 GT 14 112 1.1
GeForce 9600 GSO 12 96 1.1
GeForce 9600 GT 8 64 1.1
GeForce 8800 GTX/Ultra 16 128 1.0
GeForce 8800 GT 14 112 1.1
GeForce 8800 GTS 12 96 1.0
GeForce 8600 GT/GTS 4 32 1.1
GeForce 8400 GS/GT 2 16 1.1

You can use GPU Caps Viewer to know the CC of your card:

Compute capability displayed by GPU Caps Viewer
Compute capability displayed by GPU Caps Viewer

NVIDIA CUDA compute capability features

NVIDIA CUDA compute capability features

Related posts:

  1. NVIDIA Kepler GK110 Architecture Whitepaper: 2880 CUDA Cores and Compute Capability 3.5
  2. NVIDIA CUDA Compute Capabilities in R334.67 and Maxwell GPU Codenames
  3. Electromagnetism Simulation with CUDA
  4. GPU Caps Viewer 1.7.0 Available With CUDA Support
  5. NVIDIA Ampere GA100 GPU: 8192 CUDA Cores and 54-Billion Transistors

7 thoughts on “(GPU Computing) NVIDIA CUDA Compute Capability Comparative Table”

  1. DrBalthar

    This table just shows the stupidity of nVidia’s naming and rebranding strategy. Confusion all over the place. I specially like that 8800GTX/Ultra is 1.0 but 8600GT is 1.1 compatible! Does it make any sense? Only in THE WAY IT IS MEANT TO BE FAKED world of nVidia.

  2. thanakij

    Instead of 2.1 as mentioned, GTX 580 is with a compute capability of 2.0

  3. utsab

    What is meant by “maximum no. of resident warps per multiprocessor”, which is 48 in GF100. A block can have upto 32 warps and there can be 8 blocks/multiprocessor,so it should be 32*8, so what is meant by 48 warps/multiprocessor???

    plz help

  4. Martin

    This table is full with errors. The GTX 570 has the compute capability of 2.0

Comments are closed.