See how W&B integrates with the ML ecosystem

Regardless of your preferred framework, environment, or workflow, our platform integrates with your existing tools and can be flexibly layered on top of any infrastructure.

See W&B in Action

Scott McClellan, Senior Director of Data Science and MLOps

NVIDIA

“Putting AI into production requires enterprises to manage a broad range of processes, including data governance, experiment tracking, workload management, and compute orchestration. Pairing W&B with Run:ai MLOps software with NVIDIA accelerated systems and NVIDIA AI Enterprise software enables enterprises to effectively deploy intelligent applications that solve real-world business challenges.”

W&B integrates with a wide variety of tools across the ML lifecycle:

Data partners

Netapp

Activeloop

NVIDIA

Snowflake

GCS

Azure Blob Storage

Data stored in various data sources can be seamlessly logged in W&B for visualization & analysis.

Decisions made in W&B are pushed to data sources for actions (e.g. fix labeling errors, collect more data, transform data in a different way).

Training partners

Anyscale

SageMaker

Run.ai

NVIDIA

Vertex AI

Lambda

Training experiments can be easily logged in W&B for visualization & analysis

Decisions made in W&B are pushed to training environments for actions (e.g. train with different hyperparameters, change model architecture, retrain on different datasets)

Workflow partners

Kubeflow

Jenkins

Airflow

Github Actions

Machine learning workload triggered by orchestration solutions can be easily logged in W&B for visualization and analysis.

Automation actions scheduled in W&B can be easily integrated into orchestration / CI/CD systems as part of the broader end-to-end workflow.

Production partners

OctoML

SageMaker

Run.ai

NVIDIA

Lambda

Production model performance and data are easily logged in W&B for visualization and analysis.

Decisions made in W&B are pushed to production environments for actions (e.g. deploy model A to production, change model version from A to B)

Multi-cloud and flexible deployment

Weights & Biases offers unmatched cloud flexibility, with secure enterprise deployments via a W&B-managed SaaS cloud or dedicated private cloud.

We are available on all 3 major cloud marketplaces, with full integrations with AWS Sagemaker and GCP Vertex. W&B is also framework and library agnostic, working with popular libraries like Azure OpenAI, Optimized Pytorch and HuggingFace on cloud platforms.

Secure enterprise deployments

W&B SaaS Cloud

W&B Dedicated Cloud

Customer-Managed

Your infrastructure of choice

Best-in-class compute hardware

Weights & Biases is a DGX-ready software provider and available for use with NVIDIA Base Command. Leverage the power of NVIDIA accelerated computing to build and deploy better models faster and supercharge your ML practice. We’re also constantly adding new integrations with NVIDIA, like the NVIDIA-developed toolkit NeMo for speech recognition.

Learn more about NVIDIA + W&B

W&B works with 9,000+ ML libraries and repos, including:

Become a partner

Our partners work closely together with Weights & Biases to build and deliver the best MLOps tools and solutions. Become a Weights & Biases partner and gain access to exclusive training, integration solutions, and go-to-market collaborations.

Channel partners

Channel partners work with Weights & Biases to gain expertise in our platform and to market and sell collaboratively.

Become a channel partner

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Technology partners

Technology partners are independent software providers whose technology extends and enhances the Weights & Biases experience.

Become a technology partner

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Solution partners

Solutions and consulting partners provide expertise and create industry-specific offerings, aligning clients with the benefits of Weights & Biases for ML initiatives.

Become a solutions partner

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