Powerful Data Science Software Demands Powerful Hardware

Today’s machine learning workloads demand a unique blend of powerful software and hardworking hardware. The open-source ecosystem delivers powerful innovation that data scientists rely on to do their jobs — but without access to powerful compute resources, their models sit idle. Data scientists and developers want hardware to “just work” and IT managers want to govern access and usage to ensure efficiency.

Anaconda’s powerful open-source data science software, optimized to run on proven Intel hardware.

Anaconda and Intel are collaborating to build key open-source data science packages optimized for Intel hardware to make machine learning fast and scalable for practitioners everywhere.

• Learn about Intel® Distribution for Python and how it can accelerate Python and speed up core computational packages with performance-oriented distribution.
• Learn how to scale your pandas workflow with Modin — no rewrite required.
• Learn how to increase performance for Scikit-learn with Intel and Anaconda.
• Explore how we used sklearnex and Anaconda to investigate how software optimizations can improve energy consumption from ML pipelines.

Get a list of the packages currently available on the Anaconda defaults channel that are powered by Intel and oneAPI.

Read the Solution Brief