How is out-of-band management utilized by network operators in an AI environment?

The correct answer is A. It is used to remotely manage and troubleshoot network devices independently of the production. Out-of-band management provides a dedicated channel, separate from the production network, for remotely managing and troubleshooting devices (e.g., switches, servers) in an AI environment. This ensures control and recovery even if the primary network fails, unlike options tied…

NVIDIA Infrastructure and Operations

Question

Options

AIt is used to remotely manage and troubleshoot network devices independently of the production
BIt is used to directly manage the AI model's learning rate during training sessions.
CIt is used to increase the computational power of AI models by adapting additional processing
DIt is used to manage the data throughput of AI applications by prioritizing network traffic.

How the community answered

(48 responses)

A
90% (43)
B
6% (3)
C
2% (1)
D
2% (1)

Explanation

Out-of-band management provides a dedicated channel, separate from the production network, for remotely managing and troubleshooting devices (e.g., switches, servers) in an AI environment. This ensures control and recovery even if the primary network fails, unlike options tied to model training, compute power, or traffic prioritization.

Topics

#Out-of-band management#Network operations#Remote management#Troubleshooting

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