If there is one aspect of AI that challenges high-bandwidth networking more than any other, it is training. However, with the growth of applications that depend on inference performance, inference is quickly catching up and placing even greater strain on the network. Compounding this are rising usage volumes, test-time scaling, mixture-of-experts architectures, and the use […]
