Pinterest has signed a US$ 4 billion cloud services deal with Amazon Web Services (AWS), as it expands its artificial intelligence capabilities. Pinterest and AWS have worked together since 2010, with AWS supporting the company’s core services and large-scale data operations. The new agreement expands that relationship as Pinterest increases investment in AI model training, inference and platform infrastructure. The investments will take place over a period of five years ending 2031.
According to a press release, Pinterest plans to expand its use of AWS Trainium chips for large language and vision-language models, while increasing deployment of AWS Graviton processors across its infrastructure to support Pinterest’s AI development, improve search and shopping features, and modernize the infrastructure behind its visual discovery platform.
Pinterest has accelerated its use of AI in recent years through advances in recommendation systems and multimodal models such as the recently launched Pinterest Assistant, a conversational discovery tool powered by vision-language models.
Matt Madrigal, Chief Technology Officer, Pinterest, said, “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.”
Dave Brown, SVP, Compute & ML Services, AWS, said, “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.”
The company also plans to continue migrating its computing environment to a Kubernetes-based architecture on Amazon Elastic Kubernetes Service (EKS), a move it said is intended to improve efficiency, reliability and software development speed across its platform, which serves more than 600 million monthly users.