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A company is building a network fabric for an AI training cluster that will train...

A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system.

Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?

A.

Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.

B.

Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.

C.

Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.

D.

Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.

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