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AI Cluster / Intra-DC

Low-latency, high-bandwidth optical fabric for GPU clusters and hyperscale data centres.

Training frontier AI models demands optical interconnects that deliver terabits of bandwidth at sub-microsecond latency, with deterministic performance across thousands of GPU nodes. SparkGrid's intra-DC solutions are purpose-built for this challenge.

Overview

The Challenge We Solve

The shift to 100,000+ GPU training clusters has fundamentally transformed data center networking. Traditional electrical interconnects fail to resolve the bandwidth-distance limitations between GPU racks, storage arrays and spine switches for large-scale AI workloads. Ultra-low-latency optical interconnect solution enables flat, non-blocking optical fabrics that eliminate electrical bottlenecks and scale linearly with cluster size.

GPU-to-GPU Bandwidth Explosion

H200/B200 NVLink domains require massive bisection bandwidth. Multi-rack GPU cluster scaling requires optical interconnects matching NVLink speeds.

Latency Sensitivity

All-reduce operations in distributed training are latency-critical. Every microsecond of added serialisation delay reduces GPU utilisation and extends training time.

Power Density

AI data centres already run at 50–100 kW per rack. Optical interconnect must deliver bandwidth-per-watt improvements over copper DAC/AOC to remain within power budgets.

Scale-Out Complexity

Managing thousands of optical links across a fat-tree or dragonfly topology requires automated link monitoring, BER tracking, and self-healing capabilities.

Key requirments

Max Port Rate800GE / 1.6TE
ModulationPAM4
Reach100m – 2km
Latency (with FEC)<100 ns
Power (800G)<8 W per port ??
Module FormQSFP-DD, OSFP, CPO
Standards800GBASE-DR4, FR4, LR4
Capabilities

What SparkGrid Delivers

800G / 1.6T Design Service

Optimized DSP enables customized 800G/1.6T transmission for 100m–2km intra-DC AI fabric interconnections.

Sub-100ns Ultra-Low Latency

Accelerated FEC and optimized pipelines deliver sub-100ns optical latency, ideal for latency-sensitive AI all-reduce workloads.

Industry-Leading Low Power

Advanced process and core optimization enable ultra-low power operation, cutting data center rack load and OPEX.

In-Depth Integrated OAM

Per-lane BER monitoring, real-time OSNR estimation and full link telemetry enable proactive fault detection and fast isolation for large-scale AI clusters.

EE & OE Co-Designed Solution

Integrated EE/OE joint optimization delivers end-to-end chip-to-optical performance, with unified power control, signal tuning and rate adaptation for diverse intra-DC AI deployments.

Co-Packaged Solution

Optimized EE die supports 2.5D co-packaged integration, eliminating PCB trace loss and performance degradation.

Use Cases

Who Benefits

Hyperscalers building 100,000+ GPU training clusters
Cloud providers deploying AI inference at scale
HPC centres upgrading to optical fabric for simulation workloads
Switch ASIC vendors integrating co-packaged optics

Ready to Get Started?

Talk to our engineering team about integrating SparkGrid solutions into your next-generation network.