Featuring initial deployment of advanced HGX and MGX mixed clusters for AI training and inference. HONG KONG, Sept. 11, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK) ...
The Mikkeli project is being engineered for future NVIDIA Vera Rubin requirements while initial HGX and MGX clusters are ...
Google has described how it is evolving its networking infrastructure to support AI workloads, bringing together a series of recent technologies into a unified architecture spanning accelerator ...
Amazon has unveiled a new data center networking architecture that it claims delivers up to 33% higher throughput while reducing network power consumption by 40%, marking what the company describes as ...
Oracle plans a multi-year deployment of HPE Juniper networking equipment across its AI data centers globally, with HPE issuing Oracle warrants to acquire HPE stock ...
Amazon has been quietly deploying a new data center networking architecture called Resilient Network Graphs, or RNG, across its cloud infrastructure since late 2024. Noah Berger/Getty Images via ...
Amazon Web Services (AWS) has developed a flat, single-tier network architecture that significantly enhances data center ...
New partnerships with Lancium, Cloverleaf, Trane and Eaton show NVIDIA extending DSX deeper into data center infrastructure, ...
Amazon has started deploying a completely new routing architecture in AWS data centers which it says will deliver higher throughput from fewer physical switches while slashing electricity consumption.
Amazon Web Services (AWS) has detailed a new cloud networking architecture based on random graph theory that it says is now the default fabric for its general-purpose cloud infrastructure worldwide.
AI data centers are running into a network bottleneck as GPU clusters expand. For infrastructure teams, fabric design, congestion control, and interoperability now matter as much as power, cooling, ...
There's been a lot of focus in recent months on the growth of artificial intelligence (AI) and the need for more data centers to power AI workloads. Data center power demands are expected to double ...