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NEW QUESTION # 122
During multi-node HPL burn-in, GPUs show uneven utilization. Which configuration ensures balanced workload distribution?
Answer: A
Explanation:
Uneven GPU utilization in a multi-node cluster is a classic symptom of PCIe/NUMA imbalance. In a DGX H100, each set of GPUs is physically closer to a specific CPU socket and a specific set of high-speed NICs. If the workload (HPL) is launched without strict affinity, an MPI rank running on a CPU core attached to Socket
0 might attempt to control a GPU attached to Socket 1. This forces data to cross the inter-processor links (UPI
/QPI), which have significantly higher latency and lower bandwidth than a direct PCIe path. This " bottlenecking " causes some GPUs to wait for data longer than others, leading to the uneven utilization observed. The verified solution is to use an orchestration script or flags that enforce Affinity. By setting --gpu- affinity and --cpu-affinity, the administrator ensures that each GPU is managed by a CPU core on its local NUMA node. This alignment minimizes latency and ensures that every GPU in the cluster receives data at the same rate, resulting in the flat, high-utilization profile required for a successful HPL burn-in record.
NEW QUESTION # 123
An administrator notices that a server is not collecting telemetry data such as traffic flows, performance faults, and events. In which network does this information flow?
Answer: A
NEW QUESTION # 124
An administrator needs to add additional GPUs to an existing server. What are the server requirements to check before installing new GPUs?
Answer: C
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 # 125
You are managing a cluster of servers running Docker and NVIDIA GPUs. You want to monitor the GPU utilization of all Docker containers running on the cluster in real-time. Which tools or techniques could you use to achieve this?
Answer: B,D
Explanation:
DCGM exporter integrated with Prometheus and Grafana is a robust solution for real-time monitoring of GPU metrics across a cluster (B). DCGM provides detailed GPU metrics, and Prometheus/Grafana offers excellent visualization capabilities. NVML (D) is a low-level API that allows you to directly query GPU information, providing flexibility for custom monitoring solutions. While 'nvidia-smi' (A) can be used, it's not ideal for cluster-wide monitoring. 'docker stats' (C) does not provide GPU utilization metrics directly. NGC (E) offers a container registry, but not built-in cluster-wide GPU monitoring.
NEW QUESTION # 126
You are tasked with installing the latest NVIDIA driver on a server running Ubuntu 22.04 for A1 workloads. You have downloaded the driver package 'NVIDIA-Linux-x86 64-535.104.05.run'. Before installation, what is the most critical step to ensure a smooth process, assuming secure boot is enabled?
Answer: C,D
Explanation:
Secure Boot requires kernel modules to be signed. Directly running the .run' file or disabling Secure Boot are generally not recommended. DKMS and MOK signing allows the driver to be validated by the system. Blacklisting nouveau ensures that it won't conflict with the NVIDIA driver. Installing via apt doesn't guarantee Secure Boot compatibility without further steps, so the best approach involves DKMS/MOK and blacklisting.
NEW QUESTION # 127
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