AI Without Data Compromise: AI GPU | Use Case

Organizations across industries are investing in AI and require access to large-scale GPU compute. In this video, the IOWN Global Forum explores an approach that enables remote GPU processing while keeping data local, reducing the need to move sensitive or proprietary data to the cloud. Connected by the All-Photonics Network, this approach supports high-performance AI workloads with minimal impact on latency. In real-world tests, large language model training tasks were performed at nearly identical speeds across distances of up to 40 km. Learn how the IOWN Global Forum and its Members are enabling more secure, cost-effective, and sustainable AI infrastructure.

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Organizations across industries are investing in AI and require access to large-scale GPU compute. In this video, the IOWN Global Forum explores an approach that enables remote GPU processing while keeping data local, reducing the need to move sensitive or proprietary data to the cloud. Connected by the