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| Section | Objectives |
|---|---|
| Topic 1: NVIDIA InfiniBand Networking | |
| Topic 2: NVIDIA Spectrum Networking | |
| Topic 3: Automation and Configuration | |
| Topic 4: Kubernetes Integration for AI Workloads | |
| Topic 5: AI Data Center Design and Optimization | |
| Topic 6: Troubleshooting Tools and Methods |
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NEW QUESTION # 19
You are investigating a performance issue in a Spectrum-X network and suspect there might be congestion problems.
Which component executes the congestion control algorithm in a Spectrum-X environment?
Answer: C
Explanation:
In the Spectrum-X architecture,BlueField-3 SuperNICsare responsible for executing the congestion control algorithm. They handle millions of congestion control events per second with microsecond reaction latency, applying fine-grained rate decisions to manage data flow effectively. This ensures optimal network performance by preventing congestion and packet loss.
Reference:NVIDIA Spectrum-X Networking Platform
NEW QUESTION # 20
A leading AI research center is upgrading its infrastructure to support large language model projects.
The team is debating whether to implement a dedicated storage fabric for their AI workloads.
Which of the following best explains why a dedicated storage fabric is crucial for this AI network architecture?
Pick the 2 correct responses below
Answer: A,C
Explanation:
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabricseparates data I/O traffic from the training compute path and avoids contention.
FromNVIDIA DGX Infrastructure Reference Architectures:
"Dedicated storage networks eliminate I/O bottlenecks by providing low-latency, high-bandwidth access to distributed storage for large-scale training jobs."
"Parallel access to datasets is key for performance, especially in multi-node, multi-GPU AI clusters." Security (B)is important, but not the core reason for a storage fabric.
Cost (D)is typicallyincreased, not reduced, with dedicated fabrics.
Reference: NVIDIA BasePOD/AI Infrastructure Deployment Guidelines - Storage Section
NEW QUESTION # 21
Which of the following NVIDIA products is best suited for high-performance computing and AI workloads that require fast inter-node communication?
Answer: A
Explanation:
Mellanox InfiniBand provides high-throughput, low-latency interconnects for high-performance computing (HPC) clusters, making it ideal for AI workloads that require efficient inter-node communication.
NEW QUESTION # 22
What are two methods for accessing the operating system on a BlueField DPU? Pick the 2 correct responses below
Answer: A,D
Explanation:
Accessing the BlueField DPU Operating System (OS)is possible throughrshim, either over PCIe or USB, and via SSH through the OOB interface when in DPU mode.
NEW QUESTION # 23
You are configuring an InfiniBand network for an AI cluster and need to install the appropriate software stack. Which NVIDIA software package provides the necessary drivers and tools for InfiniBand configuration in Linux environments?
Answer: C
Explanation:
MLNX_OFED (Mellanox OpenFabrics Enterprise Distribution) is an NVIDIA-tested and packaged version of the OpenFabrics Enterprise Distribution (OFED) for Linux. It provides the necessary drivers and tools to support InfiniBand and Ethernet interconnects using the same RDMA (Remote Direct Memory Access) and kernel bypass APIs. MLNX_OFED enables high- performance networking capabilities essential for AI clusters, including support for up to 400Gb/s InfiniBand and RoCE (RDMA over Converged Ethernet).
NEW QUESTION # 24
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