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ck
Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware (by mlcommons)
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
We would like to ask for a favor: we have prepared a tutorial to help students run the MLPerf inference benchmark across different platforms at the Student Cluster Competition at SuperComputing'22 in a few days: https://github.com/mlcommons/ck/blob/master/docs/tutorials/s... .
We would like to test it across different machines before students run it ;) . If you have time, please help us go through this tutorial and run this benchmark on any available system - it should not take more than 20..30 minutes.
If you encounter any issues, please report them at https://github.com/mlcommons/ck/issues so that we could fix them before the competition.
Thank you for supporting this community project!
Related posts
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Sharing a tutorial to modularize ML Systems
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[N] Tutorial to modularize ML Systems benchmarks from the Student Cluster Competition'22
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MLCommons is creating a new working group to modularize ML Systems
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[N] Open working group to modularize ML Systems
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[N] Releasing the MLPerf automation framework to plug in real-world ML models, data sets and tools