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NVIDIA Exam NCP-AIN Topic 2 Question 2 Discussion

Actual exam question for NVIDIA's NCP-AIN exam
Question #: 2
Topic #: 2
[All NCP-AIN Questions]

[AI Network Architecture]

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?

Show Suggested Answer Hide Answer
Suggested Answer: A

The RDMA Shared Device Plugin is a critical component in the NicClusterPolicy custom resource for enabling Remote Direct Memory Access (RDMA) capabilities in Kubernetes clusters. RDMA allows for high-throughput, low-latency networking, which is essential for efficient GPU-to-GPU communication across nodes in AI workloads. By deploying the RDMA Shared Device Plugin, the cluster can leverage RDMA-enabled network interfaces, facilitating direct memory access between GPUs without involving the CPU, thus optimizing performance.

Reference Extracts from NVIDIA Documentation:

'RDMA Shared Device Plugin: Deploy RDMA Shared device plugin. This plugin enables RDMA capabilities in the Kubernetes cluster, allowing high-speed GPU-to-GPU communication across nodes.'

'The RDMA Shared Device Plugin is responsible for advertising RDMA-capable network interfaces to Kubernetes, enabling pods to utilize RDMA for high-performance networking.'


Contribute your Thoughts:

Tarra
4 days ago
I think the crucial parameter is A) RDMA Shared Device Plugin.
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Noel
5 days ago
Hmm, I was leaning towards C) OFED Driver, but now I'm not so sure. Gotta double-check the docs on this one.
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William
11 days ago
I'm pretty sure it's B) Secondary Network. That's the key for enabling high-speed GPU-to-GPU communication, right?
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