Address the Need for Python in Generative AI with IBM and Anaconda

Saundra Monroe and Midhat Shahid

The advent of large language models (LLMs) can democratize access to AI and advance enterprise adoption of AI technology. In this time of discovery and experimentation, the governed use of AI is more critical than ever. That’s why IBM and Anaconda are collaborating to provide an enterprise-grade generative AI solution. Natively built within IBM, Anaconda allows data scientists to use Python and open source to unleash innovation with AI.

IBM users can access Anaconda’s natively built open-source Python repository. Anaconda Distribution provides users with Python open-source package management. can also integrate with Anaconda Repository on-premises for Python security vulnerability management and license management.

Python continues to be the leading language for data science and generative AI workloads in 2024. Anaconda is the gateway to the open-source Python community, providing curated access to the packages powering enterprise AI. Through this collaboration, brings Generative AI models to clients, and Anaconda brings enterprise-grade Python to enhance enterprise AI.

Python and LLMs in 2024: How data scientists can leverage and Anaconda 

To help advance enterprise AI initiatives, Anaconda Distribution has been updated to include key Generative AI packages like huggingface_hub, transformers, and safetensors. These packages leverage open-source development to expedite time to value for deploying large language models (LLMs) and other models in the enterprise.

Anaconda’s clear mission and dedication to innovation have led to its core open-source package management system being used in AI frameworks at Meta, NVIDIA, PyTorch, OpenAI, and now IBM 

For clients building with, they will have access to enterprise-ready open-source Python packages directly within This means users can use Anaconda Repository to access the latest stable OSS Python packages in one place to train, validate, tune, and deploy AI models. 

This will help provide scaling and broad enterprise usage while mitigating security vulnerability risk. This powerful combination is engineered to allow AI builders to:

  • Build AI applications, choosing from the latest stable and OSS Python packages and AI frameworks.
  • Tune the enterprise AI software supply chain with the Anaconda Repository, which provides additional security with vulnerability analysis, channel management, and open-source security best practices. 

IBM’s expertise in AI, combined with Anaconda’s distribution of open-source packages, create a dynamic collaboration designed to allow clients to advance their AI journey.

Start building with IBM and Anaconda today!

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