New Solution Brief

Private, AI-optimized infrastructure designed for financial data sovereignty

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Agentic AI, real-time payment networks, mobile banking, high-frequency trading, etc. require a resilient, AI-ready foundation for GPU-intensive, latency sensitive workloads. The increasing focus on financial data sovereignty drives the need for environments that are purpose-built for regulated data, enabling low-latency AI, embedded compliance and the ability to scale without compromise. Deploy workloads in strategic, high-performance hubs to gain global connectivity and stronger control while ensuring sensitive data remains protected and out of the public internet. Transform FinServ for the AI era with insights, key steps, solution diagrams and more in this implementation guide.

What you’ll find inside:

  • Modernize legacy infrastructure to support resource-heavy AI workloads while maintaining strict financial data sovereignty and meeting regulatory requirements.
  • Enable private, secure, low-latency FinServ networks that bypass the risks and variability of the public internet.
  • Deploy distributed AI across hybrid multicloud for fraud detection, risk scoring and real-time analytics.
  • See how dedicated, private connectivity enhances reliability for trading, payments and digital banking with 99.9999% uptime.
  • Get step-by-step reference architectures for capital markets, core banking, enterprise AI and AI-focused financial innovations to scale securely while reducing network and infrastructure costs.
As a global financial services provider with customers in every public cloud, and in every region of the globe, Equinix is the only provider that can provide a secure reliable infrastructure to allow us to enable our clients to leverage digital banking securely.
Director of Global Network Architecture, Global Fortune 200, Fintech Services Provider