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IBM watsonx.ai vs. Weights & Biases

Overview
ProductRatingMost Used ByProduct SummaryStarting 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
Weights & Biases
Score 10.0 out of 10
N/A
Weights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.
$50
per month per user
Pricing
IBM watsonx.aiWeights & Biases
Editions & Modules
Essentials
$0
per month
Free Trial
$0
per month
Standard
$1,500
per month
Starter
$50
per month per user
Enterprise
custom pricing
Offerings
Pricing Offerings
IBM watsonx.aiWeights & Biases
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsGet 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
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User Ratings
IBM watsonx.aiWeights & Biases
Likelihood to Recommend
7.7
(4 ratings)
10.0
(1 ratings)
User Testimonials
IBM watsonx.aiWeights & Biases
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.
Chris Lenderborg | TrustRadius Reviewer
Chris Lenderborg
Technical Support Engineer
Read full review
Weights & Biases
No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard.
Experiment details can be shared very easily with public using the reports
Verified User
Anonymous
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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.
Amritanshu Kumar | TrustRadius Reviewer
Amritanshu Kumar
MIS Excecutive
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Weights & Biases
  • Metrics Logging
  • Hyperparmeters Sweeps
  • Model Artifcats
Verified User
Anonymous
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Cons
IBM
  • APIs integration could be improved.
  • steep learnings for tuning AI models
  • performance lag
Verified User
Anonymous
Read full review
Weights & Biases
  • Dashboard lags when we log a lot of metrics
  • Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward
Verified User
Anonymous
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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.
Verified User
Anonymous
Read full review
Weights & Biases
No answers on this topic
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.
Chris Lenderborg | TrustRadius Reviewer
Chris Lenderborg
Technical Support Engineer
Read full review
Weights & Biases
  • Made it very easy to track experiments
  • Track ML and Business Metrics improvements across experiments
  • Reproduce runs which is essential in ML modelling
Verified User
Anonymous
Read full review
ScreenShots

IBM watsonx.ai Screenshots

Screenshot of Foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of Prompt Lab in watsonx.ai where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of Tuning Studio in watsonx.ai where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of Data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.

Weights & Biases Screenshots

Screenshot of Weights & Biases