Optimize data center networking for AI workloads [London – United Kingdom]

Organizations must optimize data center networking to handle the unique demands of AI workloads, which require high bandwidth, low latency, and reliable connectivity. This involves evolving both back-end and front-end networks, leveraging Ethernet technologies, and implementing flexible hardware and automation tools to support AI training and inference effectively.

Two positive signals from China-proposed resolution on international AI cooperation

The UN General Assembly recently adopted a resolution on enhancing international cooperation in AI, proposed by China and co-sponsored by the US. This landmark agreement highlights the potential for collaboration among nations, particularly benefiting Global South countries in building AI capacity and fostering technological advancement for improved livelihoods.

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