Ai Networks stories
Rising AI demand is forcing Asia-Pacific telecoms to upgrade networks for lower latency, higher bandwidth and tighter cross-border coordination.
The move could speed automated connectivity for enterprise customers as operators seek common NaaS standards across cloud and AI networks.
The move could help ease bottlenecks as huge AI clusters struggle to keep hundreds of thousands of GPUs synchronised during network faults.
Its new fabric promises lower latency and more bandwidth for training, as Google links up to 134,000 TPU 8t chips across sites.
Arrcus triples 2025 bookings as it launches an AI inference network fabric to cut latency and speed traffic across distributed sites.
Dialpad to expand its New Zealand presence, aiming to create scalable solutions that support remote work and business growth.
The vPoP data centre company has partnered with Ai Networks to expand its high speed network capabilities to the London Internet Exchange.
The UK lab trial aims to slash AI power use and cut accelerator idle time as demand for inference strains data centre networks.
AI data centres boost network speeds to 1.6Tb/s, relying on structured cabling for efficient, scalable, and reliable high-density fibre infrastructures.
