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Snorkel + Amazon Web Services
Your data is your differentiator. Accelerate the development of private AI applications customized with your proprietary data.
Innovate faster with Snorkel Flow and Amazon Web Services
Snorkel AI and AWS unlock the power of AI by empowering some of the world’s leading companies to transform their data and knowledge into real-world business value.
Unlock the value of data as your differentiator
Instantly pull unstructured data from Amazon S3 into Snorkel Flow and programmatically curate datasets with your expertise to meet your unique requirements.
Build and deploy custom AI applications faster
Build, deploy, and adapt ML models of all sizes—including multi-billion parameter LLMs—to custom use cases using Snorkel Flow, Amazon Sagemaker, and Amazon Bedrock.
Securely deploy ML processes at scale
Get up and running fast with Snorkel Flow on Amazon Elastic Kubernetes Services (EKS) running on private tenants or Snorkel Flow hosted offerings.
Integration highlights
Single-click access to unstructured data
- Use the native Snorkel Flow connector to seamlessly consume data in Amazon S3
Build AI applications at enterprise speed
- Efficiently label, filter, slice, sample, and augment unstructured data using Snorkel Flow
- Connect to open source LLMs via SageMaker Jumpstart and Bedrock
- Fine-tune and align models in SageMaker Jumpstart with datasets tuned using Snorkel Flow
- Adapt and distill customized, domain-specific MLflow models in Snorkel Flow
- Serve, monitor, and manage custom models that are SageMaker ready
Securely deploy machine learning processes at scale
- Streamline Snorkel Flow deployment on AWS with EKS
- Simplify Snorkel Flow management with Snorkel Managed VPC service for AWS
Consolidated billing and simplified procurement
- Snorkel Flow is available in AWS Marketplace
Case studies
Recent news
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