What AI tools did Pinterest use?

Pinterest used Amazon EKS, Amazon Bedrock, Amazon SageMaker in this implementation within the Technology sector.

What business function does this AI use case address?

This use case focuses on Sales, demonstrating how AI can drive impact in that area.

How Pinterest Delivers 10M AI Recommendations per Second on AWS

Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.

Outcomes

17% YoYRevenue Growth

70%AI-Driven Discovery

11%MAU Growth

10M per secondAI Recommendations

Tools & Technologies

Amazon EKS

Managed Kubernetes service for running containerized applications

Amazon Bedrock

Fully managed service for accessing foundation models from leading AI companies via AWS.

Amazon SageMaker

Managed machine learning service for building, training, and deploying ML models in the cloud.

AI Categories

Cloud Infrastructure

ML Platform

Large Language Models

Challenge

Needed to process billions of images and deliver personalized recommendations from 500+ petabytes while maintaining user trust at massive scale.

Solution

Built microservices architecture on AWS with 10,000+ GPU instances, Pinterest Canvas diffusion model, visual search recognizing 2.5B objects, and voice-enabled AI assistant.

Full Story

Pinterest needed to evolve its AI-powered discovery system to process billions of images and deliver personalized recommendations from 500+ petabytes of data without compromising user trust or prioritizing addictive engagement.

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