DC/OS Data Science Engine 2.0.1 was released on 31, July 2020

New Features

DC/OS Data Science Engine now allows multiple Spark UI instances to be accessible

Horovod for supporting distributed training with TensorFlow, PyTorch, and MXNet
Horovod-on-Spark integration for dynamic allocation of cluster resources
User management and filesystem permissions by adding the ability to access host path volumes with custom UID/GID
Seamless upgrade process
EdgeLB integration (limited to notebooks only)
Pre-baked Notebook images with different flavors of ML libraries
TensorFlow, PyTorch, MXNet as the main ML distributions
Added Horovod + Spark for distributed use-cases
Notebook image has two flavors: local and distributed
Each image has CPU and GPU variant
Mounting host path support
Upgrading Jupyter and other frameworks to the latest versions:
- JupyterLab 2.0
- TensorFlow 1.15
- TensorFlow 2.1.0
- PyTorch 1.4.0
- MXNet 1.6.0
- Horovod 0.19.0

BeakerX kernels have been removed from the distribution. Now only IPython, Toree, and R kernels supported

Fixed LD_LIBRARY_PATH to point to correct version of CUDA libraries
Fixed Spark Environment to have SPARK_DIST_CLASSPATH set
Fixed Service Account file path to allow notebooks to run from any directory
Fixed BeakerX configuration file path to allow BeakerX Spark Magic to work from any directory

DC/OS Data Science Engine does not support notebook having spaces in the name. It is recommended to use underscore (_) instead of () in the notebook name.

Added automation for enabling/disabling verbose logging for Spark resource offers
Notebook Docker image is configurable via service options.
DC/OS Data Science Engine now stores fetched Hadoop configuration files, hdfs-site.xml and core-site.xml, in $MESOS_SANDBOX/hadoop_conf folder so users can modify them without root privileges.

Fixed Spark configuration dialog in BeakerX kernel.
Fixed folder permissions so users can install new packages with conda or pip.
Fixed static resources paths in host mode for components with UI: Spark, History Server, Tensorboard

CUDA 9 images will no longer be provided with a bundle; CUDA 10 is the only version used for GPU images.
jaas_secret option removed from security configuration. extra_spark_secrets should be used instead.

DC/OS Data Science Engine does not fully support root service user. It is recommended to use the default user nobody.
DC/OS Data Science Engine does not support the installation of Python packages on CoreOS. It is recommended to use CentOS.
DC/OS Data Science Engine does not support AWS Classic Load Balancer, because it does not support WebSockets. It is recommended to configure load balancers and proxies to allow WebSockets.