IBM watsonx.ai vs. Pytorch

Pytorch

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM watsonx.ai	Score 7.7 out of 10	N/A	Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.	$0
Pytorch	Score 9.3 out of 10	N/A	Pytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.	N/A

Pricing

IBM watsonx.ai

Pytorch

Editions & Modules

Essentials: $0
per month
Free Trial: $0
per month
Standard: $1,500
per month

No answers on this topic

Offerings

Pricing Offerings
IBM watsonx.ai	Pytorch
Free Trial
Yes	No
Free/Freemium Version
Yes	No
Premium Consulting/Integration Services
Yes	No

Entry-level Setup Fee

No setup fee

Additional Details

Get started building differentiated AI assets with watsonx.ai, our studio for generative AI, foundation models and machine learning. Scale up your AI use cases as needed with integrations to watsonx.data, a fit-for-purpose data store built on an open data lakehouse architecture, and watsonx.governance (coming soon), a toolkit to accelerate responsible, transparent and explainable AI workflows. Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.

—

More Pricing Information

Learn more

Community Pulse
	IBM watsonx.ai	Pytorch
Considered Both Products	IBM watsonx.ai Verified User Engineer Chose IBM watsonx.ai IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world. Incentivized Helpful?	Pytorch No answer on this topic

Best Alternatives
	IBM watsonx.ai	Pytorch
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10	IBM SPSS Modeler Score 7.8 out of 10
Medium-sized Companies	Posit Score 9.1 out of 10	Posit Score 9.1 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10	IBM SPSS Modeler Score 7.8 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	IBM watsonx.ai	Pytorch
Likelihood to Recommend	7.7 (4 ratings)	9.4 (5 ratings)

User Testimonials
	IBM watsonx.ai	Pytorch
Likelihood to Recommend	IBM Based on my experience, I can recommend that you have a good AI management system in your company account, and if you have the money at your disposal to invest in IBM watsonx, do not hesitate. We are using API models to obviously build a work environment with sustainable flow as well. We have AI and ML lifecycle support. Incentivized Chris Lenderborg Technical Support Engineer Read full review	Open Source They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch. Incentivized Verified User Anonymous Read full review
Pros	IBM it has many Reliable tools for algorithm modeling visualization. Highly secured, Integrated and all data optimized in one management Easily prepared and extract data from document. Incentivized Amritanshu Kumar MIS Excecutive Read full review	Open Source Provides Benchmark datasets to test your custom algorithm Provides with a lot of pre-coded neural net components to use for your flow Gives a framework to write really abstract code. Incentivized Taapas Agrawal Research Intern Read full review
Cons	IBM APIs integration could be improved. steep learnings for tuning AI models performance lag Incentivized Verified User Anonymous Read full review	Open Source Distributed data parallel still seems to be complicated Support for easy deployment to servers Torchvision to have support for latest models with pertained weights Incentivized Verified User Anonymous Read full review
Alternatives Considered	IBM IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world. Incentivized Verified User Anonymous Read full review	Open Source As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks. You can get to better performance models by better understanding the deep learning model code, so I think the choice of Pytorch is easy and simple. Incentivized Verified User Anonymous Read full review
Return on Investment	IBM We have already met our objectives in creating a supportive environment. This open-source tool increases the financial feasibility of the workflow. High price. Incentivized Chris Lenderborg Technical Support Engineer Read full review	Open Source I'd estimate I can build a model 50% faster on pytorch vs other frameworks Incentivized Verified User Anonymous Read full review
ScreenShots	IBM watsonx.ai Screenshots