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NVIDIA AI Infrastructure Sample Questions:

1. Your AI infrastructure includes several NVIDIAAI 00 GPUs. You notice that the GPU memory bandwidth reported by 'nvidia-smi' is significantly lower than the theoretical maximum for all GPUs. System RAM is plentiful and not being heavily utilized. What are TWO potential bottlenecks that could be causing this performance issue?

A) The NVIDIA drivers are not configured to enable peer-to-peer memory access between GPUs.
B) Insufficient CPU cores assigned to the training process.
C) The GPUs are connected via PCle Gen3 instead of PCle Gen4.
D) Inefficient data loading from storage to GPU memory.
E) The CPU is using older DDR4 memory with low bandwidth

2. An A1 server is exhibiting unusually high CPU utilization during a GPU-accelerated workload. How can you determine if the CPU is becoming a bottleneck, preventing the GPUs from achieving their full potential?

A) Monitor CPU utilization using 'top' or 'htop' while the workload is running; sustained high utilization suggests a bottleneck.
B) Run a CPU-intensive benchmark in parallel with the GPIJ workload to observe performance degradation.
C) All of the above
D) Use 'nvidia-smi' to check the GPU utilization; low GPIJ utilization combined with high CPU utilization indicates a potential CPU bottleneck.
E) Profile the application with a CPU profiler (e.g., 'perf) to identify CPU-bound functions.

3. An InfiniBand fabric is experiencing intermittent packet loss between two high-performance compute nodes. You suspect a faulty cable or connector. Besides physically inspecting the cables, what software-based tools or techniques can you employ to diagnose potential link errors contributing to this packet loss?

A) Use 'ibdiagnet' to perform a comprehensive fabric analysis, including link integrity checks and error detection.
B) Run 'ipeff or 'ibperf between the two compute nodes and analyze the reported packet loss rate. Correlate this with the error counters on the switches.
C) Disable port mirroring.
D) Monitor the port counters on the InfiniBand switches connected to the compute nodes. Look for excessive CRC errors, symbol errors, or other link-related error counts.
E) All of the above

4. You are troubleshooting a performance issue with NVMe-oF traffic being accelerated by a BlueField-2 DPU. You suspect a problem with the RDMA configuration. Which of the following 'perfquery" commands would provide the MOST relevant information to diagnose potential RDMA issues such as packet loss or congestion?

A) 'perfquery -G' (global counters)
B) 'perfquery (QOS statistics)
C) 'perfquery -s;' (switch statistics)
D) 'perfquery -x' (general link statistics)
E) 'perfquery -P (port counters including packet loss and congestion)

5. An AI infrastructure utilizes NVIDIA ConnectX-7 NICs for inter-node communication. The requirement is to achieve a bandwidth of 400GbE with low latency over a distance of 100 meters. Which transceiver and cable type combination is MOST suitable for this scenario?

A) QSFP-DD FR4 transceiver with single-mode fiber cable.
B) QSFP-DD SR8 transceiver with OM3 multi-mode fiber cable.
C) QSFP-DD SR4 transceiver with OM4 multi-mode fiber cable.
D) QSFP-DD DR4 transceiver with single-mode fiber cable.
E) QSFP-DD LR8 transceiver with OM4 multi-mode fiber cable.

Solutions: