Weights & Biases:
Working with NAIRR
Meet Your NAIRR W&B Team
mark.kroto@wandb.com
kevin.stofan@wandb.com
vanpelt@wandb.com
Join your Team
W&B End-to-End Demo
Looking for a deeper understanding if how Weights & Biases is helping your colleagues at NAIRR? Watch this complete end-to-end demo or contact any of the W&B NAIRR team below!
mark.kroto@wandb.com
kevin.stofan@wandb.com
vanpelt@wandb.com
Trusted by the most innovative players in ML
Research Engineer – Facebook AI Research
Co-Founder – OpenAI
“Weights & Biases moved the AI field from traditionally babysitting a single experiment to managing multiple experiments across many teams spanning entire companies. Collaboration and sharing of scientific insights and results are central tenets of AI today, and only grow more prevalent each day. We are limited as individuals, and can overcome this weakness together.”
CEO and Co-Founder – Stability AI
The Weights & Biases platform helps you streamline your ML workflow from end to end
The Weights & Biases end-to-end AI developer platform
Weave
Models
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Weave
Traces
Explore and
debug LLMs
Evaluations
Rigorous evaluations of GenAI applications
FAQs
What is Weights & Biases?
WandB is the ML system of record used to track and store data and the computations that go into producing ML models, and for monitoring system metrics (e.g. GPU utilization). WandB provides a rich toolset for querying, visualizing, and collaborating with your teammates at NAIRR on ML projects.
How do I get access at NAIRR?
You can indicate your interest in acquiring a WandB Enterprise License in the contact form above. Upon doing so a representative from WandB will contact you regarding onboarding and training.
Who else is using W&B at NAIRR today?
W&B is leveraged today by many of the great ML practitioners on teams such as Studio Lab.