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Hopsworks VS MLPerf

Compare Hopsworks VS MLPerf and see what are their differences

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Hopsworks logo Hopsworks

Machine learning (ML) application building platform

MLPerf logo MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.
  • Hopsworks Landing page
    Landing page //
    2023-08-19
  • MLPerf Landing page
    Landing page //
    2023-08-18

Hopsworks videos

+ Add

Hopsworks 3.0: Introduction to the new Python-centric Feature Store

More videos:

  • Review - End-to-end anomaly detection model using the Hopsworks platform
  • Review - Hopsworks Live Coding: Installing Hopsworks Open Source

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 Hopsworks and MLPerf)

Hopsworks

MLPerf

Data Science And Machine Learning
35 35%
Data Science And Machine Learning
65% 65
Data Science Notebooks
36 36%
Data Science Notebooks
64% 64
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning Tools
25 25%
Machine Learning Tools
75% 75

User comments

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What are some alternatives?

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

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.

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

Weights & Biases - Developer tools for deep learning research

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

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