What's new and changed in Watson Machine Learning Accelerator

Watson Machine Learning Accelerator updates can include new features, bug fixes, and security updates. Releases are listed in reverse chronological order so that the latest release is at the beginning of the topic.

You can see a list of the new features for the platform and all of the services at What's new in IBM Cloud Pak for Data.

Installing or upgrading Watson Machine Learning Accelerator

Ready to install or upgrade Watson Machine Learning Accelerator?

  • To install Watson Machine Learning Accelerator along with the other Cloud Pak for Data services, see Installing Cloud Pak for Data.
  • To upgrade Watson Machine Learning Accelerator along with the other Cloud Pak for Data services, see Upgrading Cloud Pak for Data.
  • To install or upgrade Watson Machine Learning Accelerator independently, see Watson Machine Learning Accelerator.
    Remember: All of the Cloud Pak for Data components associated with an instance of Cloud Pak for Data must be installed at the same version.

Cloud Pak for Data Version 5.0.2

A new version of Watson Machine Learning Accelerator was released in August 2024 with Cloud Pak for Data 5.0.2.

Operand version: 5.0.2

This release includes the following changes:

Security issues fixed in this release

Version 5.0.2 of the Watson Machine Learning Accelerator service includes various fixes.

Cloud Pak for Data Version 5.0.1

A new version of Watson Machine Learning Accelerator was released in July 2024 with Cloud Pak for Data 5.0.1.

Operand version: 5.0.1

This release includes the following changes:

New features
This release of Watson Machine Learning Accelerator includes the following features:
New default replica setting
For medium and large sizing of the Watson Machine Learning Accelerator service, the Watson Machine Learning Accelerator pods are now set to scale to a minimum of 2 replicas to improve redundancy, minimize failover, and reduce downtime of the service.
Issues fixed in this release
The following issues were fixed in this release:
Pods continue running after shutdown
  • Issue: When a user shuts down the Watson Machine Learning Accelerator service, some pods continue to run.
  • Resolution: Stop the pods.
Security issues fixed in this release
The following security issues were fixed in this release:

CVE-2024-6387, CVE-2024-34069, CVE-2024-34064, CVE-2024-33602, CVE-2024-33601, CVE-2024-33600, CVE-2024-33599, CVE-2024-2961, CVE-2024-28182, CVE-2024-27319, CVE-2024-27318, CVE-2024-0450

CVE-2023-6597

CVE-2022-48622

Cloud Pak for Data Version 5.0.0

A new version of Watson Machine Learning Accelerator was released in June 2024 with Cloud Pak for Data 5.0.0.

Operand version: 5.0.0

This release includes the following changes:

New features
This release of Watson Machine Learning Accelerator includes the following features:
New deep learning libraries
You can now use the following deep learning libraries with Watson Machine Learning Accelerator:
  • Python 3.11.5
  • PyTorch 2.1.2
  • Tensor Flow 2.14.1
  • NVIDIA CUDA Toolkit 12.2.0

If you have existing models, update and test your models to use the latest supported frameworks. For more information, see Supported deep learning frameworks in the Watson Machine Learning Accelerator documentation.

New NVIDIA GPU Operator version
You can now use the following deep learning libraries with Watson Machine Learning Accelerator:
  • Version 24.3.0
Issues fixed in this release
The following issues were fixed in this release:
A TensorFlow job using multiple GPUs per worker fails
  • Issue: A Tensor Flow elastic distributed training job fails when using 8 GPU per worker.
  • Resolution: A TensorFlow elastic distributed training job run successfully when using multiple GPUs per worker.
Model deployment fails if a shared GPU allocation policy is specified
  • Issue: When deploying a model with a shared GPU allocation policy, that deployment will fail.
  • Resolution: Model deployment is successful.
Security issues fixed in this release
The following security issues were fixed in this release:

CVE-2022-48554, RHSA-2024:1879, RHSA-2024:2679, CVE-2023-2975, CVE-2023-3446, CVE-2023-3817, CVE-2023-5678, CVE-2023-6129, CVE-2023-6237, CVE-2024-0727, CVE-2023-7008, CVE-2024-3651, CVE-2024-24786, CVE-2023-45288, CVE-2024-28835, CVE-2024-25062, CVE-2024-28834, CVE-2024-3154, GHSA-c5pj-mqfh-rvc3, CVE-2024-30251, CVE-2024-27306, RHSA-2024:1530, RHSA-2024:2512

CVE-2023-45139, RHSA-2024:2447, RHSA-2024:2438, CVE-2024-28219, CVE-2023-47248, RHSA-2024:2463, CVE-2023-52425, CVE-2024-28757, CVE-2024-22365, CVE-2023-38469, CVE-2023-38470, CVE-2023-38471, CVE-2023-38472, CVE-2023-38473, RHSA-2024:2302, RHSA-2024:2410, RHSA-2024:1825, CVE-2024-21011, CVE-2024-21068, CVE-2024-21094, CVE-2024-21012, RHSA-2024:2145, CVE-2023-43785, CVE-2023-43786, CVE-2023-43787

RHSA-2024:2295, RHSA-2024:2184, RHSA-2024:2289, CVE-2023-42852, CVE-2024-23213, CVE-2023-40414, CVE-2023-41983, CVE-2023-39928, CVE-2023-42883, CVE-2023-42890, CVE-2014-1745, CVE-2024-23206, CVE-2023-32359, CVE-2024-29857, CVE-2024-30172, CVE-2024-30171, CVE-2024-34447, CVE-2023-25193, CVE-2023-40745, CVE-2022-40090

CVE-2023-37328, CVE-2021-29390, CVE-2022-33065, CVE-2023-3138, CVE-2023-3618, CVE-2023-41175, CVE-2023-6228, RHSA-2024:2292, CVE-2023-27043