How much lower latency will hollow core fibre deliver between locations?

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Hollow Core Fibre Offers Approximately 30% Lower Latency

Hollow core fibre is anticipated to deliver around 30% lower latency compared to traditional fibre optic cables. This advancement is a key component of HKT's new 3.2Tbps AI Data Centre Inter-connect (DCI) Superhighway service, which is being rolled out in Hong Kong. The service aims to provide ultra-fast and seamless access to computing resources across multiple data centres, catering to the demands of next-generation AI workloads.
Reduced Latency for Enhanced AI Operations

The implementation of hollow core fibre between Lok Ma Chau Loop and Tseung Kwan O is specifically designed to achieve this significant reduction in latency. This technological upgrade is crucial for AI infrastructure providers who need to efficiently scale their training and inference operations. For institutions like universities and research labs, it enables the pooling of computing capacity across Hong Kong to run complex scientific simulations, benefiting from faster data transmission.
Supporting Next-Generation AI Workloads

This new fibre infrastructure builds upon HKT's existing 800Gbps AI Superhighway. The 3.2Tbps AI DCI Superhighway, utilising hollow core fibre, supports advanced industry standards such as Remote Direct Memory Access (RDMA) and RDMA Over Converged Ethernet (RoCEv2). This combination of high bandwidth and ultra-low latency is essential for keeping thousands of GPUs across data centres synchronised, thereby minimising delays in data transmission and reducing compute time and costs.
Foundational Connectivity for Hong Kong's AI Future

Steve Ng, Managing Director of Commercial Group at HKT, emphasized that connectivity is the fundamental basis for Hong Kong's AI future. The next-generation fibre network is intended to facilitate ultra-low latency, high-speed, and secure data exchange, unlocking the full potential of AI development within the city. By enhancing the seamless connection and optimisation of Hong Kong's computing resources, the initiative aims to accelerate model training, enable real-time data processing, and foster cross-sector AI innovation.

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