Snorkel + Google Cloud
Build and deploy powerful, customized AI applications that solve your most critical problems with Snorkel AI and Google Cloud.
Build and deploy AI faster using Snorkel Flow and Google Cloud
Together, Snorkel AI and Google Cloud help Fortune 500 enterprises, federal agencies and other AI innovators to rapidly transform proprietary data into powerful AI applications.
Transform unstructured data into AI
Instantly pull unstructured data such as text or images from Google BigQuery into Snorkel Flow. Label data programmatically to quickly generate high-quality training sets and highly-accurate ML models.
Build models at enterprise speed
Train, deploy, and retrain models using Snorkel Flow and Vertex AI. When needed regenerate the entire training set in Snorkel Flow and instantly serve the updated model with Vertex AI Endpoints.
Quickly and securely deploy at scale
Get up and running fast with Snorkel Flow on Google Kubernetes Engine (GKE) to capitalize on Google’s secure, compliant storage and highly-scalable cloud infrastructure.

The accuracy of any ML model is only as good as the data it was trained on. The combination of Snorkel AI’s programmatic, data-centric approach to labeling with Google Cloud’s ability to help organizations build, deploy and scale efficient AI models is a game-changer.
Dr. Ali Arsanjani
Director of Cloud Partner Engineering at Google Cloud
Integration highlights

Quickly and securely access unstructured data stored on Google Cloud
- Use the native Snorkel Flow connector to seamlessly consume data in BigQuery
- Easily ingest data stored in Google Cloud Storage (GCS) or Cloud SQL

Easily train, deploy and adapt ML models for custom use cases
- Train, serve and manage custom models with Vertex AI
- Train custom models with AutoML
- Train custom document workflows with Document AI Workbench

Scale machine learning processes on customer clouds
- Streamline deployment on Google Cloud with GKE
- Accelerate performance with Google GPUs or TPUs

Snorkel Flow and other Google Cloud technologies
- Detect text with Cloud Vision API OCR capabilities
- Plug into TensorFlow machine learning framework
- Fine-tune and adapt LLMs for targeted enterprise use cases
- Speech-to-Text translation for 125+ languages
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