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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
Access Gemini Pro, PaLM 2, and other models in the Vertex AI Model Garden, then train and deploy models using Snorkel Flow and Vertex AI.
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
Harness the power of foundation models to solve real-world problems
- Fine-tune and adapt PaLM FMs with proprietary data for custom use cases
- Leverage Vertex AI Model Garden and Generative AI Studio to accelerate custom model development
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
- Snorkel Prompt Builder uses Google Flan-T5 as a default
- 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 TPU
Spend smart and procure faster
- Purchase Snorkel Flow directly from Google Cloud Marketplace
Recent partnership news
How to leverage Google Gemini Pro in Snorkel Flow
Large language model training: tackling data challenges (Next Panel, 32 minutes)
Building production-ready AI with Google’s PaLM 2 LLM, proprietary data, and Snorkel Flow (5min demo)
Snorkel AI deepens partnership with Google Cloud to help enterprises unlock the potential of large language models
Snorkel AI accelerates foundation model fine-tuning 5x with Google TPUs
Snorkel AI teams with Vertex AI to accelerate AI Deployment
Building the most open and innovative AI ecosystem
AI disruptors: Google partner case studies
Snorkel co-founder Henry Ehrenberg on accelerating AI with Snorkel Flow and Google Cloud
Google Cloud’s Dr. Ali Arsanjani on challenges and ethics LLM adoption in the enterprise
How Google used Snorkel to build and adapt content classification models
Built with BigQuery: Accelerate data-centric AI development with Google Cloud and Snorkel AI
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