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Zero-Latency Infrastructure for Real-Time AI

Platform Labs

Speed isn’t a feature—it’s the foundation of AI-based systems

Apr 2, 2025

Written by

Leon Hartmann

Lead Infrastructure Engineer at Platform Labs

Back to Labs

Zero-Latency Infrastructure for Real-Time AI

Platform Labs

Speed isn’t a feature—it’s the foundation of AI-based systems

Apr 2, 2025

Written by

Leon Hartmann

Lead Infrastructure Engineer at Platform Labs

Back to Labs

Zero-Latency Infrastructure for Real-Time AI

Platform Labs

Speed isn’t a feature—it’s the foundation of AI-based systems

Apr 2, 2025

Written by

Leon Hartmann

Lead Infrastructure Engineer at Platform Labs

AI-powered services demand speed. Every millisecond matters when decisions rely on real-time data processing. Building zero-latency infrastructure means rethinking network, server, and edge architecture.

AI-powered services demand speed. Every millisecond matters when decisions rely on real-time data processing. Building zero-latency infrastructure means rethinking network, server, and edge architecture.

The Infrastructure Bottleneck

Latency isn’t just a network issue. Database design, API performance, and memory allocation also matter.

Tech Stack Optimisation

Hybrid cloud, edge computing, and intelligent caching can close the latency gap.

Best Practices

  • Use regional edge servers for inference

  • Minimise roundtrips with local data handling

  • Profile and refactor APIs for sub-100ms response

  • Select memory-first databases

  • Monitor latency metrics in production, not just staging

Key Takeaways

  • Speed enables real-time personalisation

  • Distributed systems need edge-first strategies

  • Monitoring tools must be embedded, not external

  • Low latency improves both UX and energy use


Speed isn’t a feature—it’s the foundation of AI-based systems

Speed isn’t a feature—it’s the foundation of AI-based systems

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