Automatic Machine Learning for the Enterprise.
Driverless AI automates feature engineering, model building, visualization and interpretability.
Licensing
- Driverless AI is a commercially licensed product, and requires a license key. Request a free trial license key here.
Download
Linux (x86)
Windows
Mac
IBM Power
| Package Type |
OS |
GPU |
CPU |
|
| RPM |
RHEL 7/CentOS 7/SLES 12 |
CUDA 9.0/CUDA 9.2/CPU only |
x86_64 |
Download |
| DEB |
Ubuntu 16.04/Ubuntu 18.04 |
CUDA 9.0/CUDA 9.2/CPU only |
x86_64 |
Download |
| TAR SH |
Most Linux |
CUDA 9.0/CUDA 9.2/CPU only |
x86_64 |
Download |
| Docker |
Docker CE |
CUDA 9.0/CPU only |
x86_64 |
Download |
| Note: |
For best GPU results, use CUDA 9.0 (the embedded version of TensorFlow only provides GPU support with CUDA 9.0 for x86_64 systems). |
|
| Package Type |
OS |
GPU |
CPU |
|
| DEB |
Ubuntu 18.04 for WSL |
CPU only |
x86_64 |
Download |
| Docker |
Windows 10 Pro |
CPU only |
x86_64 |
Download |
| Caution: |
Windows computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs are not supported on Windows. |
|
| Package Type |
OS |
GPU |
CPU |
|
| Docker |
MacOS X |
CPU only |
x86_64 |
Download |
| Caution: |
MacOS computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs are not supported on MacOS. |
|
| Package Type |
OS |
GPU |
CPU |
|
| RPM |
RHEL 7 |
CUDA 9.0/CUDA 9.2/CPU only |
ppc64le |
Download |
| DEB |
Ubuntu 16.04 |
CUDA 9.0/CUDA 9.2/CPU only |
ppc64le |
Download |
| TAR SH |
RHEL 7/Ubuntu 16.04 |
CUDA 9.0/CUDA 9.2/CPU only |
ppc64le |
Download |
| Docker |
Docker CE |
CUDA 9.0/CPU only |
ppc64le |
Download |
| Note: |
For best GPU results, use CUDA 9.0 (the embedded version of TensorFlow only provides GPU support with CUDA 9.0 for ppc64le systems). |
|
User Documentation
Booklets
