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MCenter VS MLPerf

Compare MCenter VS MLPerf and see what are their differences

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MCenter logo MCenter

Machine Learning Operationalization

MLPerf logo MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.
  • MCenter Landing page
    Landing page //
    2021-08-03
  • MLPerf Landing page
    Landing page //
    2023-08-18

MCenter videos

+ Add

MCenter MIS Macedonia

MLPerf videos

+ Add

SC22: AI Benchmarking & MLPerf™ Webinar

More videos:

  • Review - MLPerf & PyTorch | PyTorch Developer Day 2020
  • Review - Peter Mattson - MLPerf: Driving Innovation by Measuring Performance

Category Popularity

0-100% (relative to MCenter and MLPerf)

MCenter

MLPerf

Data Science And Machine Learning
71 71%
Data Science And Machine Learning
29% 29
Data Science Notebooks
70 70%
Data Science Notebooks
30% 30
Machine Learning Tools
77 77%
Machine Learning Tools
23% 23
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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What are some alternatives?

When comparing MCenter and MLPerf, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Datatron - Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Spell - Deep Learning and AI accessible to everyone

Numericcal - Machine Learning Operationalization

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