What is the role of NVIDIA's AI-driven network monitoring in data centers?

• A.To optimize traffic routing for deep learning models
• B.To ensure secure data transmission
• C.To monitor GPU performance and utilization
• D.To dynamically adjust network parameters based on workload demands

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In an AI cluster using NVIDIA GPUs, which configuration parameter in the NicClusterPolicy custom resource is crucial for enabling high-speed GPU-to-GPU communication across nodes?

• A.RDMA Shared Device Plugin
• B.Secondary Network
• C.OFED Driver
• D.NV IPAM

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What are the prerequisites for performing Flow Analysis with NetQ?

• A.Cumulus 4.x and later / Spectrum-2 and later / LCM enabled
• B.Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment
• C.Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment
• D.Cumulus 5.x and later / Spectrum-2 and later / LCM enabled

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You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes. Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?

• A.NVLink for both intra-node and inter-node GPU communication.
• B.InfiniBand for both intra-node and inter-node GPU communication.
• C.NVLink for intra-node GPU communication and InfiniBand for inter-node communication.
• D.PCIe for intra-node GPU communication and RoCE for inter-node communication.

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Your organization is planning to utilize Ethernet for an upcoming AI project. Spectrum-X is the selected platform for this deployment, and Adaptive Routing is a key feature. What are the requirements included in the Spectrum-X RA for adaptive routing?

• A.SN4700, BlueField-3 SuperNIC, DDR, RoCE traffic
• B.SN5600, BlueField-3 SuperNIC, DDR, RoCE traffic
• C.SN5600, BlueField-3 SuperNIC, DDR, TCP traffic

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