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 make sure that open-source Anaconda data science software and Intel hardware deliver the best possible user experience for data science practitioners without sacrificing enterprise governance and resource conservation required by IT.
Intel Python engineers teamed up with Anaconda engineers in this session from AnacondaCON 2020. Watch to learn how they developed two essential enhancements for Numba* and how to get better performance for your Numpy/Pandas workflows.