NCP-AII Question 60
Select 2An organization is deploying an AI workload on an NVIDIA DGX system. The team is deciding between using a bare-metal setup and a virtualized environment to maximize performance and scalability. Which of the following factors should they prioritize when choosing their system setup?
- A
Low-latency communication between GPUs for model training
- B
Simplified resource sharing and isolation for multi-team collaboration
- C
Direct access to NVIDIA CUDA libraries for optimized performance
- D
Ease of migrating workloads between different servers
- E
Availability of pre-configured AI frameworks to accelerate deployment
Show answer and explanation
Correct answers: A, C
Explanation
For high-performance AI workloads on NVIDIA systems, factors like low-latency GPU communication and direct access to NVIDIA CUDA libraries are critical. These factors are best supported by bare-metal setups, which eliminate the overhead associated with virtualization. While other considerations like resource sharing, workload migration, and pre-configured frameworks are useful, they do not directly address the performance and scalability needs of demanding AI workloads.
- A. Correct.
Low-latency GPU communication is essential for high-performance AI workloads, especially during model training, and is best achieved in a bare-metal setup.
- B. Incorrect.
While resource sharing and isolation are useful in virtualized environments, they can introduce overhead and are not critical for maximizing performance in high-demand AI workloads.
- C. Correct.
Direct access to NVIDIA CUDA libraries ensures optimal performance, which is crucial for AI workloads and is typically better supported in bare-metal environments.
- D. Incorrect.
Ease of migrating workloads is more relevant to virtualized environments, but it does not directly impact performance optimization in AI workloads.
- E. Incorrect.
Pre-configured AI frameworks are helpful for deployment but do not influence the choice between bare-metal and virtualized environments directly.