MLPerf VS Algorithmia

MLPerf

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

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.

Landing page //
2023-08-18

Landing page //
2023-09-14

SC22: AI Benchmarking & MLPerf™ Webinar

Algorithmia videos

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How To Color Black and White Photos Automatically: Algorithmia Review

Category Popularity

0-100% (relative to MLPerf and Algorithmia)

Algorithmia

Data Science And Machine Learning

20 20%

Data Science And Machine Learning

80% 80

Data Science Notebooks

23 23%

Data Science Notebooks

77% 77

Machine Learning Tools

19 19%

Machine Learning Tools

81% 81

Predictive Analytics

100 100%

Predictive Analytics

0% 0

User comments

Share your experience with using MLPerf and Algorithmia. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Algorithmia seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MLPerf mentions (0)

We have not tracked any mentions of MLPerf yet. Tracking of MLPerf recommendations started around Mar 2021.

Algorithmia mentions (5)

Building a Responsible AI Solution - Principles into Practice
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 2 years ago
Having a hard time understanding the purpose of a website like RapidAPI
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 2 years ago
[D] Has anyone used Algorithmia as a model deployment tool? I'm unconvinced by it.
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 2 years ago
[D] Feedback on our idea - a platform that turns code into a monetized API
Seems similar to https://algorithmia.com. Source: over 2 years ago
Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 3 years ago

What are some alternatives?

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

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.

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

Datmo - Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

MLPerf vs MCenter

MLPerf vs Managed MLflow

Algorithmia vs MCenter

Algorithmia vs Managed MLflow

Algorithmia vs 5Analytics

Algorithmia vs neptune.ai