FEC is one of the hidden enablers of modern AI infrastructure — but as network speeds and scale increase, error correction brings its own costs in latency, power and silicon.

This report explores how FEC supports reliable scale-out AI networks, why its infrastructure cost is becoming increasingly important, and how new photonic Compute-in-Transit architectures could move selected elements of error correction into the optical data path itself.

AI data centre network trends: Forward Error Correction

How can AI networks move more data, more reliably, without allowing error correction to become another source of latency, power consumption and silicon overhead?

As AI infrastructure scales, the network is becoming an increasingly important part of the compute system. Accelerators constantly exchange parameters, gradients, activations and intermediate data across increasingly distributed scale-up and scale-out fabrics — putting extraordinary demands on bandwidth, latency, reliability and energy efficiency.

Forward error correction (FEC) is one of the technologies making that possible. It works largely out of sight, detecting and correcting transmission errors before they become packet loss, retransmissions or network-level disruption. At hyperscale, that reliability has a direct impact on useful network throughput, accelerator utilisation, job completion time and tail latency.

But FEC itself comes with a cost.

As optical lane rates rise and AI networks grow, conventional FEC decoding introduces latency, consumes silicon area and power, and contributes additional heat at every relevant port. The challenge is correcting errors reliably and doing so with the minimum possible infrastructure overhead.

In this report, Optalysys Principal Field Applications Engineer Joseph Wilson explores the role FEC plays in modern AI data centres and asks whether emerging photonic architectures could change where, and how, some of that computation happens.

Optalysys’ photonic Compute-in-Transit approach could enable selected elements of the FEC pipeline to be performed while data is still moving through the system, combining photonic and analogue processing with conventional digital control.

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At Optalysys we’re pioneering the architectural revolution enabling photonic Compute-in-Transit. Get in touch with us to find out how we can bring efficiency gains to your use case →