Pinterest Deepens AWS Partnership with US$4bn Cloud Deal

Pinterest has expanded its long-standing collaboration with AWS, naming it the company’s preferred cloud provider and committing US$4bn in cloud services through to 2031. 

The agreement is the largest infrastructure commitment in Pinterest’s history and is intended to accelerate its AI roadmap, deliver more responsive search and shopping and modernise core infrastructure.

Matt Madrigal, CTO at Pinterest, says: “Pinterest is heavily investing in AI to make discovery more personal, visual and actionable for the hundreds of millions of people who use our platform every month. This expanded commitment with AWS gives us the compute flexibility, hardware optionality and infrastructure efficiency to accelerate our AI vision for the next generation of visual discovery on Pinterest. 

“This strategic partnership will help accelerate AI innovation at Pinterest, improving both our consumer experience and advertiser performance by advancing our proprietary models and our use of open-source models.”

Cloud partnership and AI roadmap

Pinterest has worked with AWS since 2010 to improve the reliability, efficiency and performance of its core services. 

The expanded agreement formalises AWS as its preferred cloud services provider and deepens technical collaboration across compute and silicon.

AI is central to how the platform serves inspiration, which starts broad and narrows to personalised, actionable ideas. That journey is powered by Pinterest’s Taste Graph and a growing set of proprietary and open-source models.

The company positions the US$4bn commitment as a foundation for faster model development and deployment. It expects gains in both consumer experience and advertiser outcomes as infrastructure scales.

Pinterest frames the deal as a long-term plan to support rapid experimentation, cost efficiency and faster iteration in production. The emphasis is on price-performance, resilience and choice across hardware and software.

Gen AI and visual discovery on the platform

Pinterest continues to modernise its stack with Gen AI. It is improving in-house visual AI while also adopting leading open-source models where they deliver value.

A recent innovation is Pinterest Assistant, which turns visual search into a simple, multi‑step conversation. It is powered by scalable open‑source vision‑language models running on AWS.

The company says Assistant helps people move from inspiration to action with greater clarity. It is designed to understand intent across images and text, and to refine ideas over several steps.

These capabilities aim to reduce friction in discovery, connect people to relevant products and content, and support measurable performance for advertisers on the platform.

AWS silicon to scale models

Dave Brown, SVP of Compute & ML Services at AWS, says: “Pinterest is building some of the most advanced visual AI systems on AWS, powering discovery for more than 600 million users. 

“AWS compute and purpose-built silicon like Trainium and Graviton give Pinterest the price-performance to train and run AI models at massive scale across both training and inference. This commitment provides Pinterest the AI infrastructure to move faster and deliver new experiences to users sooner.”

Pinterest plans to diversify its use of accelerated compute to meet growing AI needs. It intends to use AWS Trainium to host and run large language models and vision‑language models for personalised visual search and AI‑assisted discovery.

AWS Graviton already powers roughly a third of Pinterest’s compute, which the company plans to expand as it scales to serve more than 600 million people every month. The focus is on sustainable performance improvements across training and inference.

Matt Garman, CEO of AWS, writes on LinkedIn: “Over the last 16 years, I have watched Pinterest evolve from a visual pinboard into an AI‑powered discovery platform serving more than 600 million users around the world. 

“Supporting that kind of evolution requires flexibility. Graviton already powers a third of Pinterest’s infrastructure, and they are now adding Trainium to accelerate the AI models behind personalised search and discovery.”