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Developer Focused MLOps on AWS

Build better models faster with Weights & Biases, the leading developer-first MLOps platform

Unlock your machine learning team's productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Weights & Biases streamlines MLOps for machine learning and deep learning workloads on AWS, whether on Amazon SageMaker or running your own machine learning on AWS infrastructure.

Explore the Weights & Biases platform
Experiments
Experiment
tracking
Reports
Collaborative
dashboards
Artifacts
Dataset and model
versioning
Tables
Interactive data
visualization
Sweeps
Hyperparameter
optimization

Smart farming with BlueRiver Technologies

John Deere subsidiary, BlueRiver Technologies, leverages Weights & Biases MLOps to accelerate building computer vision models for weed detection for targeted crop spraying.

READ THE CASE STUDY

SEE WHAT ELSE W&B CAN DO FOR AUTONOMOUS
VEHICLE DEVELOPMENT

Use W&B with SageMaker

We made Weights & Biases to be flexible and easy to use, regardless of your framework or workflow. Click the link below to read an text classification tutorial with SageMaker, Hugging Face, and W&B.

CHECK OUT THE EXAMPLE PROJECT