Amazon and Prosus Sign Three-Year Cloud Deal to Scale Global AI Operations

Digital visualization of global cloud infrastructure connecting e-commerce and AI operations for the AWS and Prosus three-year strategic partnership.

Amazon Web Services (AWS) and Prosus NV have signed a three-year strategic partnership to accelerate artificial intelligence (AI) deployment across a global e-commerce portfolio. The agreement aims to achieve double-digit cost savings by consolidating cloud infrastructure and standardizing AI development for markets in Europe, India, and Latin America.

Standardizing AI Across a Global Portfolio

The partnership provides Prosus-backed businesses, including iFood, OLX, PayU, Despegar, eMag, and Just Eat Takeaway.com, with streamlined access to AWS cloud infrastructure and machine learning tools. By moving away from fragmented regional contracts, Prosus aims to centralize its technology stack, thereby improving operational efficiency.

Under the terms of the deal, AWS will provide specialized engineering support and access to its advanced AI services, including Trainium chips. Prosus, which invests approximately $100 million annually in AI talent and infrastructure, will focus on developing region-specific AI models tailored to its 500 million global customers.

Key Focus Areas and Financial Efficiency

The collaboration is structured around five strategic pillars:

  1. Generative AI Innovation: Scaling large commerce models for personalized search and recommendations.
  2. System Reliability: Enhancing uptime across high-volume transaction platforms.
  3. Security Frameworks: Strengthening data protection and regional compliance.
  4. FinOps Optimization: Implementing financial operations practices to reduce cloud waste and lower operational expenditure.
  5. Shared Technology Templates: Developing reusable code and AI architectures that can be deployed across different portfolio companies.

The agreement builds on the technical success of Brazil’s iFood, which currently processes 180 million orders per month using an agentic AI system. Prosus CEO Fabricio Bloisi has indicated that this reorganization is central to the group’s broader strategy to increase profitability and scale AI capabilities following a period of structural change.

Wider Context: From Pilots to Production

The deal reflects a maturing global trend where major enterprises are moving beyond isolated AI pilots toward full-scale production. By partnering with a single primary cloud provider, Prosus follows a growing industry pattern of seeking “economies of scale” in compute power to manage the high costs associated with training Large Language Models (LLMs).

For AWS, the partnership secures a massive enterprise client with significant footprints in emerging markets. It also underscores the competitive landscape of cloud providers (AWS, Microsoft Azure, and Google Cloud) as they vie for dominance in the “infrastructure layer” of the AI economy.

Impact and What’s Next

The immediate impact is expected to be a reduction in infrastructure overhead for Prosus’s fintech and food delivery subsidiaries. By standardizing on AWS, these companies can deploy new AI features faster than competitors utilizing fragmented systems.

In the coming months, industry analysts will monitor how this consolidation affects Prosus’s operating margins and whether the promised “double-digit” savings materialize in upcoming quarterly earnings. Furthermore, the success of this deal may serve as a blueprint for other global investment holding companies looking to harmonize AI operations across diverse geographic regions.

Disclaimer: The views, information, and opinions expressed in our articles and community discussions are those of the authors and participants and do not necessarily reflect the official policy or position of Blockrora. Any content provided by our platform is for informational purposes only and should not be considered as financial, legal, or investment advice. Blockrora encourages readers to conduct their own research and consult with professionals before making any investment decisions.

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