Sub-50ms Inference: How Edge Deployment Changes the Game

Why Latency Matters

For many AI applications, the speed of inference is just as important as the quality of the model. A self-driving car can't wait 200ms for an object detection result. A financial trading algorithm can't tolerate 100ms of network latency. A real-time translation service needs responses in under 50ms to feel natural.

The Physics of Latency

Light travels through fibre optic cable at approximately 200,000 km/s. This means:

• London to Frankfurt: ~6ms one-way
• London to US East Coast: ~35ms one-way
• London to US West Coast: ~65ms one-way

When you add server processing time, queue delays, and return trips, centralised US-based inference can easily exceed 150ms for European users.

Our Edge Strategy

AI Green Bytes is deploying GPU centres across 16 European locations in 12 countries, ensuring that most European users are within 10ms of a compute node:

Use Cases That Demand Low Latency

Autonomous Vehicles: Object detection and path planning require sub-20ms inference for safe operation at highway speeds.

Financial Services: Algorithmic trading and real-time fraud detection where milliseconds translate directly to money.

Healthcare: Real-time medical imaging analysis during surgical procedures.

Gaming & AR/VR: Cloud-rendered gaming and augmented reality experiences require sub-30ms round-trip times.

Conversational AI: Natural-feeling voice assistants need response times under 50ms to avoid awkward pauses.

The AIGB Advantage

By combining edge deployment with immersion cooling, we deliver:

• Sub-50ms inference for 90% of the European population
• High density — more GPUs per square metre means more compute at each edge location
• Sustainability — lower PUE means less energy wasted on cooling at every site
• Sovereignty — data never leaves the European jurisdiction

The future of AI is at the edge. And the edge is green.