Pricing

Build cutting-edge models in half the time

Personal

Free

Personal accounts

0

  • For personal projects only. Corporate use not allowed, must use Teams or Enterprise plans.
  • Unlimited experiments
  • Unlimited tracked hours*
  • 100 GB storage and artifacts tracking included. For additional storage, see pricing.

Teams

$50 / mo + usage

Per user, billed annually

First 250 tracked hours* free

  • 5,000 annual tracked hours* included. Additional hours billed at $1/hour
  • Up to 10 seats
  • Unlimited teams for collaboration
  • 100 GB storage and artifacts tracking included. For additional storage, see pricing.

Enterprise

Custom plans available

0

  • Flexible deployment options
  • Unlimited tracked hours* tracked
  • Secure storage connector
  • Dedicated Machine Learning Engineer & CSM to ensure success
  • Dedicated support channel
  • Support SLA
  • Custom storage plan
  • Single sign on
  • Service account for CI workflows
Personal

Free

Personal accounts
1 pip install wandb
2 wandb server start

Try now with two lines of code!

  • For personal projects only. Corporate use not allowed.
  • Unlimited experiments
  • Unlimited tracked hours*
  • 100 GB storage and artifacts tracking included. For additional storage, see prices
  • Run a W&B server locally on any machine with Docker and Python installed

Enterprise

Custom plans available
1 pip install wandb
2 wandb server start

Try now with two lines of code & a free Enterprise Trial license

  • Flexible deployment options
  • Unlimited tracked hours* tracked
  • Secure storage connector
  • Dedicated Technical Account Manager to ensure success
  • Dedicated support channel
  • Support SLA
  • Custom storage plan
  • Service account for CI workflows
  • Run a W&B server locally on your own infrastructure with a free enterprise trial license

*What is a tracked hour?: A tracked hour is wall-clock time when training a model. If your model takes 8 hours to train, you have used 8 tracked hours. Today, this is irrespective of GPU quality, speed, etc. Cumulative tracked hours counted per organization.

Academic research teams

Use W&B to coordinate projects remotely, like Google Drive for ML! 100 gb storage included.

Managed W&B Private Cloud

Need HIPAA compliance, or have data that can’t leave your system? Install W&B locally, on your own servers.

Why use Weights & Biases?

1

Automatic Tracking

Tired of pasting results into a spreadsheet? Track models automatically.

2

Model Debugging

Debug model issues quickly with logs, charts, and tables of tracked results.

3

Collaboration

Quickly share findings and discuss model results with your team.

4

Reproducibility

Use W&B’s reliable system of record to make all models reproducible.

Proudly supporting 500,000+ ML practitioners at 800+ companies and institutions

Compare plans

Personal

Free

Teams

$50 / mo per user

Enterprise

Dashboard: Experiment tracking

Hosting and installation

Log data to W&B from any machine, and visualize all the results in a central, hosted cloud dashboard
Private Cloud available

ML project management

Public projects
Private projects
Data retention

Unlimited

Unlimited

Unlimited

Team management

Collaborative teams
1

Unlimited

Unlimited

Team members
1

10

Unlimited

Tracked hours

Unlimited

5000

Unlimited

Service account
Single sign on

Artifacts: Data versioning

Dataset versioning

Interactive directed graphs

Queryable tables for predictions

Sweeps: Hyperparameter optimization

Advanced sweeps dashboards

Hyperparameter searches

Lineage and Tracking

You have complete control of what is logged in W&B. You can curate and delete data from the system at any time. Storage represents the hosting costs of files saved to W&B servers. Artifacts are files tracked with artifacts for reproducibility.

 

Storage Pricing

First 100 GB of Storage is free, with additional usage at $0.03 per GB, billed monthly. 

Custom plans available.

Key Values of
Weights & Biases

How our lightweight, interoperable tools empower your ML team

Reliable, automatic experiment tracking

Develop better models faster
Use the single, central system of record to save all the relevant metadata for your models automatically, so you can focus on model training. Spend more time in a flow state.
Pick the tools that solve your problems best. With W&B, you’re not locked in to an end-to-end platform. We pride ourselves on making our tools play well with other systems.
Spend more time in a flow state, and less time doing tedious tracking. With W&B, you can focus on the hard machine learning problems, and let us take care of tracking all the details to make the models reproducible.
  • How are the latest experiments doing, compared to previous model versions?
  • Is this model running out of GPU memory? What are the system bottlenecks?
  • How does this hyperparameter affect accuracy across different classes?
  • What do sample predictions look like from this model?

Persistent knowledge base

Capture valuable insights centrally

Every time you run a new experiment, W&B captures the changes you made and gives you a place to jot down notes. Quickly compare your latest results with previous baselines.

Automatically track the exact version of the code, hyperparameters, and even the dataset your model trained on. Trace back exactly where your resulting models came from.
Annotate findings inside the central W&B system, so your models can speak for themselves. Use interactive notes, comments, and reports to clearly explain your research.
  • Where are all the model files stored for this project?
  • What have we tried already, and what avenues should we explore next for improving this model?
  • What are the key findings from this research?

Machine learning team management

Move quickly on big projects, and make handoffs seamless
Use the single, central system of record to save all the relevant metadata for your models automatically, so you can focus on model training. Spend more time in a flow state.Train on whatever compute is available – AWS, GCP, Azure, or the GPU box in the office. All results are organized in a central place.
Pick the tools that solve your problems best. With W&B, you’re not locked in to an end-to-end platform. We pride ourselves on making our tools play well with other systems.
Spend more time in a flow state, and less time doing tedious tracking. With W&B, you can focus on the hard machine learning problems, and let us take care of tracking all the details to make the models reproducible.
  • How should new team members get started contributing to this ML project?
  • When someone leaves the team, how is their research saved and communicated?
  • How are all our projects doing, across the organization? Are any particular projects roadblocked or stuck? Are certain projects performing better than expected?

Production model lineage

Version and track every artifact in your model pipeline

Know where a model comes from end to end, and what is running where.

  • Reliably capture all changes to the data you’re using to train your models. ‍
  • Save datasets in any system: GCP, AWS, Azure, or even uploaded directly to W&B servers.
  • Clearly identify what downstream steps in your pipeline were affected by a change in data.
  • Capture all of your trained models in one central system.‍
  • Maintain a clear picture of all the data, preprocessing, and evaluation that was done on each model.
  • Trace back the lineage of any production model to the exact code and data that it was trained on.
  • What data was this production model trained on?
  • How did relabeling a chunk of data affect the accuracy of this model?
  • This data was corrupted — what downstream models were affected by this issue?
  • How did changing this preprocessing step affect model accuracy?