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MLPerf VS MCenter

Compare MLPerf VS MCenter and see what are their differences

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MLPerf logo MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

MCenter logo MCenter

Machine Learning Operationalization
  • MLPerf Landing page
    Landing page //
    2023-08-18
  • MCenter Landing page
    Landing page //
    2021-08-03

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

MCenter videos

+ Add

MCenter MIS Macedonia

Category Popularity

0-100% (relative to MLPerf and MCenter)

MLPerf

MCenter

Data Science And Machine Learning
30 30%
Data Science And Machine Learning
70% 70
Data Science Notebooks
31 31%
Data Science Notebooks
69% 69
Machine Learning Tools
23 23%
Machine Learning Tools
77% 77
Predictive Analytics
100 100%
Predictive Analytics
0% 0

User comments

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What are some alternatives?

When comparing MLPerf and MCenter, 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.

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

Spell - Deep Learning and AI accessible to everyone

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

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.

Numericcal - Machine Learning Operationalization

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