Hugging Face vs IBM Machine Learning comparison

Hugging Face and IBM are both solutions in the AI Development Platforms category. Hugging Face is ranked #6 with an average rating of 8.6, while IBM is ranked #26. Hugging Face holds a 7.6% mindshare in AIDP, compared to IBM’s 0.1% mindshare. Additionally, 100% of Hugging Face users are willing to recommend the solution.

Hugging Face

Read 8 Hugging Face reviews

3,703 Views
3,242 Comparison Views

100% willing to recommend

IBM Machine Learning

64 Views
37 Comparison Views

Hugging Face

IBM Machine Learning

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Executive Summary

We performed a comparison between Hugging Face and IBM Machine Learning based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: August 2024).

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AI Development Platforms

August 2024

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Helped 800,688 peers since 2012

Categories and Ranking

Hugging Face

Ranking in AI Development Platforms

6th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Machine Learning

Ranking in AI Development Platforms

26th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2024, in the AI Development Platforms category, the mindshare of Hugging Face is 7.6%, up from 4.8% compared to the previous year. The mindshare of IBM Machine Learning is 0.1%, down from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Tong Zhang

Lead RND Engineer, Data Scientist at a healthcare company with 11-50 employees

Sep 4, 2023

Stable, easy to set up, and useful

I mainly use it for machine learning and AI. It's for a large language model, like LLaMA Hugging Face has helped me in many ways. For example, I can check the leading board and see which model gives the best performance. Another thing I can do is use an exact Q code to deploy and test the model.…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice

"The tool is open-source. The cost depends on what task you're doing. If you're using a large language model with around 12 million parameters, it will cost more. On average, Hugging Face is open source so you can download models to your local machine for free. For deployment, you can use any cloud service."

"We do not have to pay for the product."

"The solution is open source."

"I recall seeing a fee of nine dollars, and there's also an enterprise option priced at twenty dollars per month."

"Hugging Face is an open-source solution."

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

12%

Manufacturing Company

11%

University

10%

Financial Services Firm

10%

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Hugging Face?

My preferred aspects are natural language processing and question-answering.

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What needs improvement with Hugging Face?

I believe Hugging Face has some room for improvement. There are some security issues. They provide code, but API tokens aren't indicated. Also, the documentation for particular models could use mor...

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What is your primary use case for Hugging Face?

I use Hugging Face to fine-tune large language models. We take our client's use case and an open-source model already deployed, download the model artifacts, and fine-tune the models according to o...

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Comparisons

Replicate vs Hugging Face

Compared 43% of the time

Google Vertex AI vs Hugging Face

Compared 21% of the time

Azure OpenAI vs Hugging Face

Compared 17% of the time

Google Cloud AI Platform vs Hugging Face

Compared 6% of the time

Amazon SageMaker vs Hugging Face

Compared 5% of the time

More Hugging Face Competitors

No data available

Product Reports

Buyer's Guide

AI Development Platforms

August 2024

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Buyer's Guide

AI Development Platforms

August 2024

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Also Known As

No data available

PowerAI, IBM PowerAI Enterprise

Learn More

Hugging Face

IBM

Overview

The AI community building the future. Build, train and deploy state of the art models powered by the reference open source in machine learning.

IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results.

Sample Customers

Information Not Available

Caixa Geral de Depósitos France, KIST Europe

Buyer's Guide

AI Development Platforms

August 2024

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We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.