Software Alternatives & Reviews

MLPerf VS Datatron

Compare MLPerf VS Datatron and see what are their differences

MLPerf logo MLPerf

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

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • MLPerf Landing page
    Landing page //
    2023-08-18
  • Datatron Landing page
    Landing page //
    2023-02-11

MLPerf videos

SC22: AI Benchmarking & MLPerf™ Webinar

More videos:

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

Datatron videos

Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to MLPerf and Datatron)
Data Science And Machine Learning
Machine Learning Tools
24 24%
76% 76
Data Science Notebooks
33 33%
67% 67
Predictive Analytics
100 100%
0% 0

User comments

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What are some alternatives?

When comparing MLPerf and Datatron, 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.

MCenter - Machine Learning Operationalization

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