Installing and Upgrading Driverless AI¶
For the best (and intended-as-designed) experience, install Driverless AI on modern data center hardware with GPUs and CUDA support. Use Pascal or Volta GPUs with maximum GPU memory for best results. (Note that the older K80 and M60 GPUs available in EC2 are supported and very convenient, but not as fast.)
Driverless AI supports local, LDAP, and PAM authentication. Authentication can be configured by setting environment variables or via a config.toml file. Refer to the Setting Environment Variables section for more information.
Driverless AI also supports HDFS, S3, Google Cloud Storage, Google Big Query, KDB, Minio, and Snowflake access. Support for these data sources can be configured by setting environment variables for the data connectors or via a config.toml file. Refer to the Enabling Data Connectors section for more information.
Note about nvidia-docker 1.0
If you have nvidia-docker 1.0 installed, you need to remove it and all existing GPU containers. Refer to https://github.com/NVIDIA/nvidia-docker/blob/master/README.md for more information.
- Sizing Requirements
- Linux Docker Images
- Linux RPMs
- Linux DEBs
- Linux TAR SH
- Linux in the Cloud
- Mac OS X
- Windows 10 Pro
- IBM Power