Software Alternatives & Reviews

5Analytics VS MLPerf

Compare 5Analytics VS MLPerf and see what are their differences

5Analytics logo 5Analytics

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

MLPerf logo MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.
  • 5Analytics Landing page
    Landing page //
    2022-05-08
  • MLPerf Landing page
    Landing page //
    2023-08-18

5Analytics videos

5Analytics - The AI Operating System

More videos:

  • Review - 5Analytics - The AI Operating System

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

Category Popularity

0-100% (relative to 5Analytics and MLPerf)
Data Science And Machine Learning
Machine Learning Tools
73 73%
27% 27
Data Science Notebooks
64 64%
36% 36
Machine Learning
100 100%
0% 0

User comments

Share your experience with using 5Analytics and MLPerf. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing 5Analytics 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.

MCenter - Machine Learning Operationalization

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Spell - Deep Learning and AI accessible to everyone

Numericcal - Machine Learning Operationalization

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.