January 6, 2021 By Chris Rosen 2 min read

Worker node flavors with Coffee Lake and Cascade Lake processors and NVIDIA Tesla P100 GPUs are now available.

IBM Cloud Kubernetes Service and Red Hat OpenShift on IBM Cloud released a new fleet of monthly bare metal flavors for worker nodes in October 2020. These new flavors feature newer processors than our current flavors and provide options for a variety of use cases, with more cores, more memory, and more capable GPUs than were previously available.

These new flavors run Ubuntu 18 and include single and dual processor options ranging from 4 to 32 cores. The 4-core single processor flavors feature Coffee Lake processors, while the dual processor flavors feature Cascade Lake processors and are available in 20-core and 32-core varieties. Memory ranges from 32 to 768 GB, and some clusters include additional local storage for storing data on software-defined storage with Portworx. Kubernetes clusters can also leverage a GPU flavor that includes two NVIDIA Tesla P100 GPU cards.

Removal of previous bare metal and all Ubuntu 16 flavors

With the introduction of these new bare metal flavors, the previous bare metal flavors for IBM Cloud Kubernetes Service and Red Hat OpenShift on IBM Cloud are no longer available for ordering, effective immediately. The CPUs supporting the previous flavors entered End Of Life on December 31, 2020, and are no longer supported or purchasable through IBM Cloud Classic Infrastructure (announced August 2020). 

The list of affected previous flavors is as follows:

  • mb1c.4×32
  • mb2c.4×32
  • ms2c.4×32.1.9tb.ssd
  • mb1c.16×64
  • ms2c.16×64.1.9tb.ssd
  • ms2c.28×256.3.8tb.ssd
  • ms2c.28×512.4×3.8tb.ssd
  • mr1c.28×512
  • md1c.16×64.4x4tb
  • md1c.28×512.4x4tb
  • mg1c.16×128
  • mg1c.28×256
  • mb3c.4×32
  • mb3c.16×64
  • ms3c.4×32.1.9tb.ssd
  • ms3c.16×64.1.9tb.ssd
  • ms3c.28×256.3.8tb.ssd
  • ms3c.28×512.4×3.8tb.ssd
  • mr3c.28×512
  • md3c.16×64.4x4tb
  • md3c.28×512.4x4tb
  • mg3c.16×128
  • mg3c.28×256

Customer actions

This change will only affect users that need to increase the size of an existing worker pool that uses a flavor from the list above. Actions such as reboot, reload, and delete will continue to function. If the user needs to scale up, they will need to create a new worker pool within their cluster using the newer 4 series BM flavors recently released. 

Join the discussion

For general questions, engage our team via Slack by registering here, and join the discussion in the #general or #openshift channels on our public IBM Cloud Slack.

More from Announcements

Success and recognition of IBM offerings in G2 Summer Reports  

2 min read - IBM offerings were featured in over 1,365 unique G2 reports, earning over 230 Leader badges across various categories.   This recognition is important to showcase our leading products and also to provide the unbiased validation our buyers seek. According to the 2024 G2 Software Buyer Behavior Report, “When researching software, buyers are most likely to trust information from people with similar roles and challenges, and they value transparency above other factors.”  With over 90 million visitors each year and hosting more than 2.6…

Manage the routing of your observability log and event data 

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives.  As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

Unify and share data across Netezza and watsonx.data for new generative AI applications

3 min read - In today's data and AI-driven world, organizations are generating vast amounts of data from various sources. The ability to extract value from AI initiatives relies heavily on the availability and quality of an enterprise's underlying data. In order to unlock the full potential of data for AI, organizations must be able to effectively navigate their complex IT landscapes across the hybrid cloud.   At this year’s IBM Think conference in Boston, we announced the new capabilities of IBM watsonx.data, an open…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters