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NEW QUESTION # 129
A system administrator wants to check the overall health status for their DGX systems. What command should be used?
Answer: D
Explanation:
nvsm is the NVIDIA System Management tool used on DGX systems to check overall platform health, including hardware, sensors, storage, power, and GPU-related system status.
NEW QUESTION # 130
You are deploying a new NVLink Switch based cluster. The GPUs are installed in different servers, but need to be configured to utilize NVLink interconnect. Which of the following should be performed during the installation phase to confirm correct configuration?
Answer: B,D,E
Explanation:
NCCL tests are specifically designed to test GPU-to-GPU communication. Ensuring GPUDirect RDMA is functioning is essential for low-latency communication. 'nvidia-smi' should display the NVLink topology. TCP/IP tests do not test the NVLink connection. It does not matter if GPUs on different servers are in the same IP subnet as NVLink communication occur directly between the GPUs using RDMA mechanism. Subnetting affects traditional networking layer communication, but not low-level device communication.
NEW QUESTION # 131
An administrator needs to add additional GPUs to an existing server. What are the server requirements to check before installing new GPUs?
Answer: A
Explanation:
The correct answer is D because adding GPUs to an existing server requires validation of physical, electrical, thermal, and platform compatibility requirements before installation. The server must have available PCIe slot allocation with the correct mechanical size, electrical lane support, and platform topology so the GPU can operate at the expected bandwidth. It must also have compatible hardware, including supported risers, power cables, firmware, BIOS settings, chassis airflow design, and driver support. Adequate rack power is mandatory because modern NVIDIA data center GPUs can significantly increase node and rack power draw under AI workloads. NVIDIA DGX SuperPOD data center guidance emphasizes that DGX rack density must fit within available power and cooling capacity, and NVIDIA-Certified Systems guidance notes that optimal PCIe server configuration depends on workload and system design. Cooling is equally critical because insufficient airflow or data center cooling can cause thermal throttling, instability, or hardware shutdowns.
Storage and networking are important for workload design, but they are not the core server installation requirements for physically adding GPUs.
NEW QUESTION # 132
You're setting up a cluster with 8 NVIDIA A100 GPUs. Each GPU needs to read 4GB/s from storage to keep it fully utilized. The network connecting the storage and compute nodes has a bandwidth of 25GB/s. What is the maximum number of GPUs that can be simultaneously saturated with data without exceeding the network bandwidth?
Answer: E
Explanation:
Each GPU requires 4GB/s of bandwidth. The network has a bandwidth of 25GB/s. Therefore, the maximum number of GPUs that can be saturated is 25GB/s / 4GB/s per GPU = 6.25 GPUs. Since you can't have a fraction of a GPU, the answer is 6 GPUs.
NEW QUESTION # 133
After running a 24-hour stress test on a DGX node, the administrator should verify which two key metrics to ensure system stability?
Answer: B
Explanation:
A 24-hour stress test (using tools like HPL or NCCL) is designed to push the thermal and electrical limits of a DGX system. To verify a " Pass, " the administrator must ensure that the hardware maintained its performance targets without degradation. Consistent GPU utilization > 95% confirms that the workload successfully saturated the compute cores for the entire duration. Crucially, the absence of thermal throttling events (verified via nvidia-smi -q -d PERFORMANCE) ensures that the system ' s cooling solution (fans and heatsinks) is adequate for the environment; if throttling occurred, the GPUs would have slowed down to protect themselves, indicating a potential cooling failure or environmental heat issue. While power consumption (Option D) and CPU usage (Option A) are interesting, they are not the primary indicators of " Stability " under extreme AI training loads. System stability is defined by the ability to run at peak speeds indefinitely without hardware-level interventions or slowdowns.
NEW QUESTION # 134
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