What AI tools did Pinterest use?

Pinterest used Amazon EKS, Amazon SageMaker, Amazon Bedrock 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 Source: AWS ↗March 2025

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.

Impact

17% YoY

Revenue Growth

70%

AI-Driven Discovery

11%

MAU Growth

10M per second

AI Recommendations

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.

Tools & Technologies

Amazon EKS Cloud Infrastructure

Amazon SageMaker ML Platform

Amazon Bedrock ML Platform

What Leaders Say

“For over a decade, we have been leveraging AI to craft a uniquely positive online experience, striving to make every moment on Pinterest additive, not addictive.”
Kartik Paramasivam, Chief Architect, Pinterest

Get the full context.

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.

Pinterest implemented a microservices architecture on AWS with Amazon EKS for rapid AI deployment, 10,000+ EC2 G5 instances for inference, and 600+ P4/P4de instances for training. Key innovations include Pinterest Canvas (latent diffusion for image generation), visual search recognizing 2.5 billion objects via SageMaker, and Pinterest Assistant (voice-enabled conversational AI). The infrastructure processes 18 terabytes of data daily.

Results: 17% year-over-year revenue growth, 11% increase in monthly active users, 230 basis point improvement in search fulfillment, and 70% of user discovery now AI-driven.

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