Describe and Position PowerEdge Server Solutions for File Sharing, High-Performance Computing (HPC), and Generative AI Workloads. POWEREDGE-FOUNDATIONS-V2 Practice Questions (Page 4)

Questions 16–18

1. 16application · medium

   A startup is building a service that uses a large language model for real-time chat responses. The model is already trained, and the service must handle many concurrent inference requests with low latency. Which PowerEdge solution is most appropriate for this inference workload?

   • AA PowerEdge XE9680 with multiple GPUs and high-bandwidth memory
   • BA PowerEdge R760 with high-core-count CPUs and no GPUs
   • CA PowerEdge R650 with large local HDD storage for model weights
   • DA PowerEdge R750 with a single mid-range GPU and 64 GB RAM
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   What is a key characteristic of generative AI inference workloads?

   • ALow latency is critical for interactive responses
   • BThey have minimal memory requirements
   • CThey require no GPU acceleration
   • DThey are typically batch-oriented with no real-time requirement
   Reveal Solution Discussion Select an answer first
3. 18foundation · easy

   Which resource is typically the most critical for an HPC workload that performs large-scale finite element analysis?

   • AHigh memory bandwidth and capacity
   • BLarge local disk storage
   • CLow-latency network only
   • DHigh clock speed per core
   Reveal Solution Discussion Select an answer first