Pinterest Bets $4B on AWS for AI

Pinterest inks a $4 billion, multi-year deal with AWS to power its AI-driven visual discovery features for over 600 million users.

7 min read
Pinterest logo alongside AWS logo with abstract AI graphics
Pinterest and AWS forge a major AI infrastructure deal.· Amazon News

Pinterest is doubling down on Amazon Web Services (AWS) for its artificial intelligence ambitions, announcing a planned $4 billion commitment through 2031. This marks the largest infrastructure deal in the visual discovery platform's history. The company aims to accelerate AI innovation for its more than 600 million monthly users.

Visual TL;DR. Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. AWS Custom Silicon enables Scale AI Models. Scale AI Models powers Enhance Visual Search. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search. Pinterest's AI Needs drives Conversational Discovery.

Related startups

  1. Pinterest's AI Needs: powering AI-driven visual discovery for over 600 million users
  2. $4B AWS Deal: largest infrastructure deal in platform's history, through 2031
  3. AWS Custom Silicon: utilizing AWS Trainium and Graviton processors for AI models
  4. Scale AI Models: train and run advanced AI models at scale efficiently
  5. Enhance Visual Search: crucial for powering visual search and personalized discovery features
  6. Accelerate AI Innovation: aims to accelerate AI innovation for its vast user base
  7. Conversational Discovery: recent advancements include multi-turn conversational discovery via Pinterest Assistant
Visual TL;DR
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Visual TL;DR — startuphub.ai Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search leads to utilizes results in supports Pinterest's AINeeds $4B AWS Deal AWS CustomSilicon Enhance VisualSearch Accelerate AIInnovation From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search leads to utilizes results in supports Pinterest's AI Needs powering AI-driven visual discovery forover 600 million users $4B AWS Deal largest infrastructure deal in platform'shistory, through 2031 AWS Custom Silicon utilizing AWS Trainium and Gravitonprocessors for AI models Enhance Visual Search crucial for powering visual search andpersonalized discovery features Accelerate AI Innovation aims to accelerate AI innovation for itsvast user base From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search leads to utilizes results in supports Pinterest's AINeeds powering AI-drivenvisual discoveryfor over 600… $4B AWS Deal largestinfrastructure dealin platform's… AWS CustomSilicon utilizing AWSTrainium andGraviton processors… Enhance VisualSearch crucial forpowering visualsearch and… Accelerate AIInnovation aims to accelerateAI innovation forits vast user base From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. AWS Custom Silicon enables Scale AI Models. Scale AI Models powers Enhance Visual Search. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search. Pinterest's AI Needs drives Conversational Discovery leads to utilizes enables powers results in supports drives Pinterest's AI Needs powering AI-driven visual discovery forover 600 million users $4B AWS Deal largest infrastructure deal in platform'shistory, through 2031 AWS Custom Silicon utilizing AWS Trainium and Gravitonprocessors for AI models Scale AI Models train and run advanced AI models at scaleefficiently Enhance Visual Search crucial for powering visual search andpersonalized discovery features Accelerate AI Innovation aims to accelerate AI innovation for itsvast user base Conversational Discovery recent advancements include multi-turnconversational discovery via PinterestAssistant From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Pinterest's AI Needs leads to $4B AWS Deal. $4B AWS Deal utilizes AWS Custom Silicon. AWS Custom Silicon enables Scale AI Models. Scale AI Models powers Enhance Visual Search. Enhance Visual Search results in Accelerate AI Innovation. AWS Custom Silicon supports Enhance Visual Search. Pinterest's AI Needs drives Conversational Discovery leads to utilizes enables powers results in supports drives Pinterest's AINeeds powering AI-drivenvisual discoveryfor over 600… $4B AWS Deal largestinfrastructure dealin platform's… AWS CustomSilicon utilizing AWSTrainium andGraviton processors… Scale AI Models train and runadvanced AI modelsat scale… Enhance VisualSearch crucial forpowering visualsearch and… Accelerate AIInnovation aims to accelerateAI innovation forits vast user base ConversationalDiscovery recent advancementsinclude multi-turnconversational… From startuphub.ai · The publishers behind this format

The expanded partnership, building on a relationship that began in 2010, will see Pinterest utilize AWS's custom silicon. This includes AWS Trainium and Graviton processors to train and run advanced AI models at scale. These models are crucial for powering visual search and personalized discovery features.

Scaling AI with Custom Silicon

Pinterest has long relied on AI to refine its recommendation systems and personalize user experiences. Recent advancements include the development of multi-turn conversational discovery via Pinterest Assistant, powered by open-source vision-language models. To support these demanding workloads, Pinterest is turning to AWS's specialized hardware.

The company plans to use AWS Trainium for large language and vision-language models that drive AI-assisted discovery. Pinterest is also increasing its use of Graviton processors, which already power approximately one-third of its compute infrastructure. This strategic shift targets enhanced efficiency and performance for AI-driven features.

According to Matt Madrigal, CTO at Pinterest, this commitment provides the necessary compute flexibility and infrastructure efficiency to advance their AI vision. He noted that the partnership will improve both consumer experience and advertiser performance.

The agreement also supports Pinterest's ongoing infrastructure modernization, including a transition to a Kubernetes-based architecture on Amazon Elastic Kubernetes Service (EKS). This move is expected to boost developer velocity and operational reliability.

Dave Brown, SVP of AWS Compute & ML Services, stated that AWS is the optimal environment for large-scale AI development, emphasizing their commitment to accelerating Pinterest's innovation.

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