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NVIDIA AI Infrastructure Sample Questions (Q172-Q177):

NEW QUESTION # 172
You have an NVIDIAAIOO GPU and need to configure it for optimal performance across two distinct AI workloads: a large language model (LLM) training job and a computer vision inference service. The LLM benefits from maximum memory bandwidth, while the inference service requires low latency and high throughput. Which MIG configuration would best suit this scenario?

A. Create one log. 120gb instance for the LLM and one 4g.40gb instance for inference.
B. Create one 14g.160gb MIG instance for the LLM and use CUDA MPS to multiplex the inference service.
C. Create a single full-GPU instance and use Kubernetes resource quotas to isolate the workloads.
D. Utilize Time-Slicing on a single full-GPU instance, allocating specific time slots to each workload using NVIDIA Vgpu technology
E. Create two 7g.80gb MIG instances, one for each workload.

Answer: A

Explanation:
Creating a log. 120gb instance for the memory-intensive LLM and a 4g.40gb instance for the inference service provides dedicated resources that cater to the specific needs of each workload, without the overhead or limitations of CUDA MPS or Kubernetes resource quotas. Option A is too conservative, potentially limiting the LLM performance. Option B sacrifices dedicated resources for inference, which may hurt latency. Option C does not leverage MIG and does not guarantee resource isolation and performance consistency. Option E introduces complexities associated with Time-Slicing and might not be suitable for real-time processing.

NEW QUESTION # 173
Which of the following statements accurately describe the benefits of using MIG (Multi-lnstance GPU) in an AI/HPC environment?
(Select all that apply)

A. MIG increases the overall FLOPS of the GPU.
B. MIG allows a single GPU to be partitioned into multiple isolated instances, improving resource utilization.
C. MIG eliminates the need for GPU virtualization software.
D. MIG guarantees performance isolation between different workloads running on the same GPIJ.
E. MIG allows running multiple CUDA versions simultaneously on the same physical GPIJ.

Answer: B,D

Explanation:
MIG allows partitioning a single GPU into multiple isolated instances, thus optimizing resource utilization (A). It provides hardware- level isolation, ensuring performance consistency and preventing interference between workloads (B). While MIG simplifies GPU sharing, it doesn't eliminate the need for all virtualization software, especially in more complex environments. MIG doesn't increase FLOPS (D); it divides the existing compute power. While different containers running on different MIG instances could have different CUDA versions, MIG itself doesn't directly handle this (E); this is handled via containers or environments.

NEW QUESTION # 174
You are deploying a multi-tenant AI infrastructure where different users or groups have isolated network environments using VXLAN. Which of the following is the MOST important consideration when configuring the VTEPs (VXLAN Tunnel Endpoints) on the hosts to ensure proper network isolation and performance?

A. Using the default MTU size of 1500 bytes for VXLAN traffic.
B. Ensuring that each tenant has a unique VXLAN Network Identifier (VNI) to isolate their traffic.
C. Using the same IP address for all VTEPs to simplify routing.
D. Using the same VNI for all tenants to maximize network utilization.
E. Disabling multicast routing to prevent broadcast traffic.

Answer: B

Explanation:
The most critical aspect of VXLAN configuration for multi-tenancy is ensuring that each tenant has a unique VNI. The VNI is a 24-bit identifier that segments the VXLAN network into isolated logical networks. Using unique VNIs guarantees that traffic from one tenant remains isolated from other tenants, preventing data leakage and ensuring security. Using overlapping or shared VNIs would defeat the purpose of VXLAN- based isolation.

NEW QUESTION # 175
You are troubleshooting a network performance issue in your NVIDIA Spectrum-X based A1 cluster. You suspect that the Equal-Cost Multi-Path (ECMP) hashing algorithm is not distributing traffic evenly across available paths, leading to congestion on some links. Which of the following methods would be MOST effective for verifying and addressing this issue?

A. Use 'ping' or 'traceroute' to analyze the paths taken by packets between the affected nodes. If they always take the same path, ECMP is likely not working correctly.
B. Restart the switches to force the ECMP hashing algorithm to recalculate paths.
C. Disable ECMP entirely and rely solely on static routing.
D. Use switch telemetry tools (e.g., NVIDIA What's Up Gold, Mellanox NEO, or similar) to monitor link utilization across all available paths between the nodes. Look for significant imbalances in traffic volume.
E. Reduce the TCP window size.

Answer: D

Explanation:
Switch telemetry tools provide the most direct and comprehensive way to monitor link utilization and identify imbalances in traffic distribution caused by ECMP. While 'ping' and 'traceroute' can provide path information, they don't give insight into traffic volume. Restarting the switches might temporarily alleviate the issue but doesn't address the underlying problem with the ECMP hashing. Disabling ECMP is a last resort and can reduce overall bandwidth.

NEW QUESTION # 176
You are installing the NGC CLI using 'pip' behind a corporate proxy. The installation fails due to connection errors. How do you configure pip' to use the proxy during the NGC CLI installation?

A. NGC CLI does not support the use of proxies
B. Set the 'http_proxy' and 'https_proxy' environment variables with the proxy server address and port.
C. Download the NGC CLI package manually and install it offline.
D. Use the '-proxy option with the 'pip install' command, specifying the proxy server address and port.
E. Create a 'pip.conf file in the appropriate directory (e.g., '-/.pip/pip.conf) and configure the proxy settings within the file.

Answer: B,D,E

Explanation:
You can configure 'pip' to use a proxy by setting environment variables (A), using the '-proxy' option with the 'pip install' command (B), or creating a 'pip.conf file (C). Downloading the package manually (D) is a workaround for the initial installation but doesn't address ongoing communication with NGC. Option E is incorrect since NGC CLI does support proxy configuration.

NEW QUESTION # 177
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