May 17, 2021 By Barry Baker 2 min read

A clear trend is emerging in the era of hybrid cloud: winning enterprises will likely pull ahead by scaling the value of their data with AI.

For many IBM Z® & IBM LinuxONE customers, the enterprise platform often serves as the system of record for their mission-critical data and applications. Data scientists often look for open-source solutions, and we are committed to embracing and bringing open-source AI capabilities to Z and LinuxONE that can support real-time AI decision-making at scale.

Today, IBM and Anaconda, provider of the leading Python data science platform, are announcing the general availability of Anaconda for IBM Linux on Z & LinuxONE. Anaconda on Linux on Z & LinuxONE is the latest step toward bringing popular data science frameworks and libraries to these enterprise platforms, providing a consistent data science user experience across the hybrid cloud.

Data scientists who already know and love Anaconda can now expand their open-source data science experience to include IBM Z & LinuxONE, while continuing to work with their favorite tools and frameworks like conda, XGBoost and SciKit-Learn. This expands and enables choice in AI frameworks and tooling for end-to-end data science directly on the platform, including development, training, testing and production. Data scientists can benefit from the security capabilities, high availability and scalability of the IBM Z & LinuxONE platforms when implementing AI deployments targeting time-sensitive workloads or transactions when they are taking place. Anaconda runs natively on Linux on IBM Z, and through z/OS Container Extensions (zCX) on z/OS, the solution brings open-source data science tools close to key workloads, leveraging the data gravity of the Z and LinuxONE platforms.

According to new research commissioned by IBM in partnership with Morning Consult, 90% of respondents said that being able to build and run AI projects wherever their data resides is important[1].  Workloads running on IBM Z & LinuxONE often need to adhere to strict latency and SLA requirements to support transactions that are key to our modern life such as online purchases. With Anaconda for Linux on Z & LinuxONE, organizations can perform AI analysis in close proximity to their data, addressing latency to deliver insights where and when they are needed.

Customers can start using Anaconda Individual Edition and Anaconda Commercial Edition today by downloading the Individual Edition or Miniconda installer, and following the associated installation documentation:

For more information on using Anaconda Individual or Commercial Edition, please visit docs.anaconda.com.

[1] IBM Global AI Adoption Index 2021 (https://filecache.mediaroom.com/mr5mr_ibmnews/190846/IBM%27s%20Global%20AI%20Adoption%20Index%202021_Executive-Summary.pdf)

Was this article helpful?
YesNo

More from Cloud

The history of the central processing unit (CPU)

10 min read - The central processing unit (CPU) is the computer’s brain. It handles the assignment and processing of tasks, in addition to functions that make a computer run. There’s no way to overstate the importance of the CPU to computing. Virtually all computer systems contain, at the least, some type of basic CPU. Regardless of whether they’re used in personal computers (PCs), laptops, tablets, smartphones or even in supercomputers whose output is so strong it must be measured in floating-point operations per…

A clear path to value: Overcome challenges on your FinOps journey 

3 min read - In recent years, cloud adoption services have accelerated, with companies increasingly moving from traditional on-premises hosting to public cloud solutions. However, the rise of hybrid and multi-cloud patterns has led to challenges in optimizing value and controlling cloud expenditure, resulting in a shift from capital to operational expenses.   According to a Gartner report, cloud operational expenses are expected to surpass traditional IT spending, reflecting the ongoing transformation in expenditure patterns by 2025. FinOps is an evolving cloud financial management discipline…

IBM Power8 end of service: What are my options?

3 min read - IBM Power8® generation of IBM Power Systems was introduced ten years ago and it is now time to retire that generation. The end-of-service (EoS) support for the entire IBM Power8 server line is scheduled for this year, commencing in March 2024 and concluding in October 2024. EoS dates vary by model: 31 March 2024: maintenance expires for Power Systems S812LC, S822, S822L, 822LC, 824 and 824L. 31 May 2024: maintenance expires for Power Systems S812L, S814 and 822LC. 31 October…

IBM Newsletters

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