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Why so many builds?

Different CUDA versions support different hardware (compute capabilites), and different driver versions support different CUDA versions. As such, we need multiple builds to support all the various hardware/software combinations.

Which build do I use?

The one that matches (or is the closest less-than-or-equal-to) the CUDA version supported by your driver.
e.g. Driver supports CUDA 12.1, use the build that targets CUDA 12.0.

To check your driver's CUDA version, run nvidia-smi, which reports the supported CUDA version on the first line (on driver 410.72 and newer1). If your driver is older than that, consult this table.

File NameFile SizeDate ModifiedHash
mfaktc-0.23.0-linux64-cuda10.0-CC30toCC75.zip774,0492024-11-0815c7145234a9ed6bdb8a4c0b701821ee
mfaktc-0.23.0-linux64-cuda8.0-CC20toCC62.zip614,1492024-11-081f037311f5c930f5a1bd70608d382a2e
mfaktc-0.23.0-linux64-cuda9.0-CC30toCC70.zip674,6842024-11-0804b4cbd37173994e31e146c286f8c8a0
mfaktc-0.23.0-linux64-cuda11.0-CC35toCC80.zip780,8132024-11-07605e0381c97c70f305620255600fafb6
mfaktc-0.23.0-linux64-cuda12.0-CC50toCC90.zip939,3602024-11-07ec1299d639d57a083416a327f0050d6b
mfaktc-0.23.0-linux64-cuda12.5-CC50toCC90.zip1,145,9612024-10-23ef17ded839afbe5de0c5d2ed05b9377b
Generated 22 Dec 2024 1:10am