Sold by
Weights & Biases AI Development Platform for AWS
Weights & Biases provides AI developers with the tools needed to build models faster, fine-tune LLMs, and develop GenAI applications with confidence for enterprises of all sizes in any vertical.
Reviews (46)
reviewer2842122
Experiment tracking has streamlined hyperparameter search and collaboration in daily model work
Reviewed on May 16, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Weights & Biases is experiment tracking.
What is most valuable?
Weights & Biases is a very handy library when I want to track experiments and find the optimal parameters for training models or determine which model is the best when experimenting with multiple models. This library is very useful.
When I need to find the optimal hyperparameter, I can use Weights & Biases to track different hyperparameters for training a model. Weights & Biases offers experiment tracking, hyperparameter optimization, and model artifact versioning.
I rely the most on hyperparameter optimization in my daily work because it is very useful for training models.
Weights & Biases is very useful when I need to review the past and see which model performed better or which parameters were the best. It provides good versioning and history, which is a feature I use frequently.
I think it provides easier collaboration. Even if I want to share my model with someone, they can see the metrics that I am getting in that model.
What needs improvement?
I think there are not enough tutorials or training available for Weights & Biases. That would be much more beneficial. A better integration with cloud providers would also help.
For how long have I used the solution?
I have been using Weights & Biases for three years.
What do I think about the stability of the solution?
Weights & Biases is stable in my experience.
What do I think about the scalability of the solution?
Weights & Biases is scalable.
Which other solutions did I evaluate?
I evaluated MLflow and TensorBoard before choosing Weights & Biases.
What other advice do I have?
I chose a rating of 8 out of 10 for Weights & Biases because it is easy to use and a very good library for machine learning engineers. Weights & Biases is a very useful library if you want to track training experiments.
reviewer2842017
Experiment tracking has improved collaboration and has reduced time spent debugging workflows
Reviewed on May 16, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Weights & Biases revolves around experiment tracking and model evaluation.
In my previous job, I used Weights & Biases for experiment tracking, model evaluation, visibility, and collaboration between the different teams that we had at the company, mostly in product and engineering, while we were working on AI-driven workflows and AI features.
How has it helped my organization?
Weights & Biases has positively impacted my organization by improving operational efficiency and functional visibility.
After adopting Weights & Biases, I noticed positive outcomes such as reduced time spent on debugging and rerunning experiments, allowing teams to quickly identify what configuration produced the best results.
What is most valuable?
One of the best features Weights & Biases offers is hyperparameter optimization because it lets us run large-scale hyperparameter searches using random or grid search.
Hyperparameter optimization from Weights & Biases helped my team significantly by reducing the manual trial and error and improving model performance much faster.
What needs improvement?
For improvement, I would say cost and scalability could be addressed, and visibility could be improved further on AI workflows.
For how long have I used the solution?
I have used Weights & Biases for around a year in my last job.
What do I think about the stability of the solution?
Weights & Biases is stable.
What do I think about the scalability of the solution?
Scalability of Weights & Biases has not become a bottleneck in our training workflow.
How are customer service and support?
My experience with customer support for Weights & Biases was good.
Which solution did I use previously and why did I switch?
Weights & Biases was the first solution I used for experiment tracking and model management, although we were considering Arise AI or BrainTrust at some point.
Before choosing Weights & Biases, I did evaluate other options, including Arise AI and BrainTrust.
How was the initial setup?
Weights & Biases was already in our system and we did not purchase it through AWS Marketplace.
What about the implementation team?
I had a good experience with pricing, setup cost, and licensing, and everything was smooth.
What was our ROI?
While I cannot share specific metrics due to confidentiality, the return on investment from using Weights & Biases has been really good.
What's my experience with pricing, setup cost, and licensing?
I had a good experience with pricing, setup cost, and licensing, and everything was smooth.
What other advice do I have?
My advice for others looking into using Weights & Biases is that they should use it and experience the benefits of this product. I would rate this review as a 9 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Mamoon K.
Effortless Training Run Tracking Made Simple
Reviewed on Dec 04, 2025
Review provided by G2
What do you like best about the product?
It helps track training runs easily. I can see all the logged runs in one place without manually checking
What do you dislike about the product?
There should be an easy way to discard non useful runs.
What problems is the product solving and how is that benefiting you?
The problem of manually checking training runs again and again in the code makes it tedious. For people learning code like me Weights and Biases presents a unique alternative
Research
Very useful quite powerful tool
Reviewed on Mar 24, 2025
Review provided by G2
What do you like best about the product?
Easy of use, ease of implementation, the possibility to gather all my results, ease of sharing results with teammates, It can compare a lot of data interactively which in other cases could be hard to implement
What do you dislike about the product?
It is online approach which is both strong and weak side, sometimes servers are bit laggy.
What problems is the product solving and how is that benefiting you?
It makes easy for me to store and analyze experiments results, which in case of using own implementation approach using matplotlib for example would require quite a lot of work.
Amir Masoud N.
Seamless Integration and Reliable Support: A Daily Essential for Machine Learning
Reviewed on Mar 08, 2025
Review provided by G2
What do you like best about the product?
It is highly and well integrated with libraries I am using like PyTorch Lightning. Many times I have set that up because it was very easy, and after a while, it has happened that I lost part of my results, and W&B helped me to easily recover them through the logs, which without it, I probably wouldn't have. The next and very important feature to me is that I can use many different machines and servers at the same time and without being worried about gathering all results together, then using tools like TensorBoard, having them online without any effort(most of the time saves me when I am using supercomputers). It is part of my daily tools, and when I am teaching students machine learning, in very early sessions after teaching them visualization, I will have them use W&B to repeat whatever they have learned so far. I have never had any problem with W&B, but I have heard from one of my friends, whom I recommended he use W&B, that customer support is very fast and experienced.
What do you dislike about the product?
Sometimes it is bothering me when I am looking for very basic functionality of W&B and it doesn't provided good documentation for that.
What problems is the product solving and how is that benefiting you?
Monitoring training models is an integral part of my research ad W&B made it easy for me.
Simon S.
Review for wandb
Reviewed on Jan 28, 2025
Review provided by G2
What do you like best about the product?
I like the flexibility to log custom parameters, and the colorful comparisons between models in for instance confusion matrices.
What do you dislike about the product?
There are a couple of features I would have liked, such as the ability to set a global normalization flag, or controlling which windows stay on screen on reload, maybe these features exist, in that case I just haven't been able to find them
What problems is the product solving and how is that benefiting you?
We build image classification software, and for that it is very useful to track model performance
Research
The fastest way to log your training runs
Reviewed on Jan 07, 2025
Review provided by G2
What do you like best about the product?
Everything works almost out of the box and it has a "nice look" once logged in
What do you dislike about the product?
I really can't resize images and masked images the way I want inside the GUI and looking at images on mobile is quite a nightmare
What problems is the product solving and how is that benefiting you?
Logging my training runs. I could achieve the same result with tensorboard (and alike) + saving images and masks and periodically generating a webpage that shows them, but W&B already offers that and much more
Higher Education
Great platform for DNN training support
Reviewed on Dec 09, 2024
Review provided by G2
What do you like best about the product?
Visualization of data from different perspective
What do you dislike about the product?
Nothing really, maybe it can be good to customize the hardware monitoring interval
What problems is the product solving and how is that benefiting you?
It helps me learn the progress of my machine learning training jobs
Ivan G.
WandB - the best online tool for experiment logging so far
Reviewed on Dec 03, 2024
Review provided by G2
What do you like best about the product?
We are a small team of 15 researchers. After the years of usage tensorboard, we decided to try online tools. We tried a few of them and find out that WandB suits us best. We really like easy of use, the fact that experiments are easily sharable, and hyperparameter sweep option. Also the option to tag all your experiments and subsequent filtration of them is also great.
What do you dislike about the product?
WandB provides an option to create a report from your experiments. It would be nice to use these reports in our papers, however, during the review period, papers should be anonymized but there is no option to anonymize the reports.
What problems is the product solving and how is that benefiting you?
Experiments sharing and logging
Giannis Z.
Weights and biases changed the way I interact with my models.
Reviewed on Sep 10, 2024
Review provided by G2
What do you like best about the product?
The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many metrics you have or how complex they are. It's also very simple to use!
What do you dislike about the product?
Can't think of anything that I dislike, my experience has been very positive until now.
What problems is the product solving and how is that benefiting you?
Helps a lot with visualization and performance tracking.