See how Weights & Biases 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.
Scott McClellan, Senior Director of Data Science and MLOps
NVIDIA
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.”
Weights & Biases integrates with a wide variety of tools across the ML lifecycle:
Data partners
- Netapp
- Activeloop
- NVIDIA
- Snowflake
- S3
- 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
- Astronomer
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 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. Weights & Biases is also framework and library agnostic, working with popular libraries like Azure OpenAI, Optimized Pytorch and HuggingFace on cloud platforms.
Secure enterprise deployments
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.
Weights & Biases works with 9,000+ ML libraries and repos, including:
Become a partner
Channel partners
Channel partners work with Weights & Biases to gain expertise in our platform and to market and sell collaboratively.
Technology partners
Technology partners are independent software providers whose technology extends and enhances the Weights & Biases experience.
Solution partners
Solutions and consulting partners provide expertise and create industry-specific offerings, aligning clients with the benefits of Weights & Biases for ML initiatives.
Latest partner news, case studies, and reports
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Improve ML developer productivity with Weights & Biases: A Computer Vision Example on Amazon SageMaker
W&B, Run:ai, and NVIDIA Partner for Complete MLOps Workflow
Introduction to End-to-End Automatic Speech Recognition with Nemo by NVIDIA
