$4 billion deal, the largest in Pinterest’s history, deepens an over decade-long collaboration through 2031
Pinterest expands use of compute, cloud-native architecture, and Amazon custom silicon, including Graviton and Trainium, to power AI at scale
Pinterest, Inc. announced a major expansion of its collaboration with Amazon Web Services (AWS), an Amazon.com, Inc. company , its Preferred Cloud Services Provider, including a planned $4 billion commitment for cloud services through 2031. The agreement is the largest infrastructure commitment in Pinterest’s history and is expected to accelerate the company’s AI roadmap, provide a more responsive search and shopping experience, and further modernize the infrastructure powering Pinterest’s global visual search discovery platform.
“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.”
“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,” said Matt Madrigal, Chief Technology Officer, Pinterest. “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.”
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A Partnership Built for Scale
Pinterest and AWS have worked together since 2010 to improve the reliability, efficiency and performance of Pinterest’s core services, including jointly optimizing one of the largest-scale data lakes on AWS. This renewed agreement significantly deepens that long-standing relationship and is structured to support Pinterest’s next phase of growth across AI model training, inference, and platform infrastructure.
“Pinterest is building some of the most advanced visual AI systems on AWS, powering discovery for more than 600 million users. As one of our longest-standing customers, we know what it takes to support that scale securely and efficiently,” said Dave Brown, SVP, Compute & ML Services, AWS. “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.”
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Scaling AI for Visual Discovery
Pinterest has long applied AI to visual discovery and personalization, and in recent years has accelerated this work with major advances in its recommendation systems and multimodal models. Powered by its proprietary Taste Graph, Pinterest helps users move from open inspiration to personalized, actionable results. The company has evolved from traditional embedding-based retrieval to transformer-based generative models, while continually adapting open-source AI and enhancing its proprietary vision models. Most recently, Pinterest launched Pinterest Assistant, bringing multi-turn conversational discovery to its visual search and discovery experience, powered by open-source vision-language models optimized for scale.
Hardware Optionality and Accelerated Compute
As part of the expanded AWS agreement, Pinterest plans to diversify its use of accelerated compute to support its growing AI needs while improving price performance – and turning to Amazon custom silicon to do it. This includes leveraging AWS Trainium to host and run large language models and vision-language models that power experiences like personalized visual search and AI-assisted discovery. In addition, Pinterest plans to expand its use of Graviton, which already powers roughly a third of the company’s compute infrastructure, to run more of the systems that support discovery for more than 600 million people every month. Together, these investments are expected to give Pinterest greater flexibility to match infrastructure to evolving AI needs.
Modernizing Pinterest’s Compute Platform
Pinterest will also continue a major infrastructure modernization effort under the agreement, transitioning from traditional EC2-based environments to a Kubernetes-based architecture on Amazon Elastic Kubernetes Service (EKS). The migration is expected to improve developer velocity, operational reliability and infrastructure efficiency across Pinterest’s global platform.
These investments are intended to strengthen and refine Pinterest’s AI infrastructure foundation and support its continued innovation in AI-powered visual search and discovery.
