IBM watsonx.ai vs. Ray.io

Ray.io

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM watsonx.ai	Score 8.0 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
Ray.io	Score 0.0 out of 10	N/A	Ray is an open-source unified compute framework used to scale AI and Python workloads — from reinforcement learning to deep learning to tuning, and model serving. Ray boasts a rich set of libraries and integrations. Alternately, Anyscale is a managed cloud offering — from the creators of the Ray project — to create, run and manage a Ray workload.	$0

Pricing

IBM watsonx.ai

Ray.io

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	Ray.io
Free Trial
Yes	No
Free/Freemium Version
Yes	Yes
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.

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Best Alternatives
	IBM watsonx.ai	Ray.io
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 9.2 out of 10	Posit Score 9.2 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10	IBM SPSS Modeler Score 7.8 out of 10
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User Ratings
	IBM watsonx.ai	Ray.io
Likelihood to Recommend	7.8 (5 ratings)	- (0 ratings)

User Testimonials
	IBM watsonx.ai	Ray.io
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	Anyscale No answers on this topic
Pros	IBM Easy to use Provides a subsequent number of pre-trained models Integration with the overall Watson platform Incentivized Verified User Anonymous Read full review	Anyscale No answers on this topic
Cons	IBM User-interface can be improved Incentivized Amritanshu Kumar MIS Excecutive Read full review	Anyscale No answers on this topic
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	Anyscale No answers on this topic
Return on Investment	IBM effective "LiGO" algorithm saving time and cost access to the catalog of open source models for enterprises fine tuning techniques Incentivized Verified User Anonymous Read full review	Anyscale No answers on this topic
ScreenShots	IBM watsonx.ai Screenshots