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HPE Private Cloud AI Solutions Sample Questions:

1. An architect is sizing an HPE Private Cloud AI solution. The customer plans to deploy a generative AI application for 150 concurrent users that requires Retrieval-Augmented Generation (RAG).
The architect enters the following into the HPE Intelligent Configurator:
```
- Use case: Text Generation
- Number of users: 100-250
- RAG: Yes
- Model: Llama 2 13B (tool default for this use case)
```
Based on the provided inputs, which HPE Private Cloud AI configuration will the HPE Intelligent Configurator most likely recommend?

A) Small - Expanded (2-node)
B) Small - Standard (1-node)
C) Large - Standard (4-node)
D) Medium - Expanded (4-node)

2. A customer is building a large-scale AI training cluster using HPE Private Cloud AI.
They have two main requirements for the storage solution:
1. It must provide extremely high throughput and low latency to feed data to a large cluster of NVIDIA H100 GPUs.
2. It must be able to scale performance and capacity independently to accommodate future growth without costly overprovisioning.
The architect is proposing HPE GreenLake for File Storage.
Which architectural features of this solution directly address the customer's requirements? (Select all that apply.)
```
Customer Requirements:
1. High performance for AI training workloads.
2. Independent scaling of performance and capacity.
```

A) It includes HPE Data Fabric, providing a global namespace across the worker nodes' local drives.
B) It uses a disaggregated architecture, allowing controller nodes (performance) and storage shelves (capacity) to be scaled separately.
C) It relies on traditional hard disk drives (HDDs) for cost-effective capacity, with a small flash tier for caching.
D) It supports GPUDirect Storage (GDS) over a high-speed NVMe-oF (RoCE) network, enabling a direct, low-latency path between storage and GPUs.
E) It is managed exclusively through a command-line interface (CLI) for maximum control.

3. A customer is using the HPE Intelligent Configurator to determine the correct size for an HPE Private Cloud AI solution. Their primary use case is a text generation chatbot for internal HR support.
What is the MOST critical piece of information the customer must provide to the sizing tool to get an accurate recommendation for the number and type of GPUs required?

A) The brand of networking switches used in their existing data center fabric.
B) The physical location of the data center where the solution will be deployed.
C) The number of ML engineers who will maintain the model.
D) The estimated number of concurrent users who will be querying the chatbot.

4. What is the primary advantage of using a Smart Template in OCA for HPE Private Cloud AI versus manually configuring a similar set of hardware?

A) The Smart Template guarantees the lowest possible price for the hardware.
B) The Smart Template ensures all necessary and validated components, including specific cables, power cords, and software SKUs, are included correctly.
C) The Smart Template allows the use of components from other vendors.
D) The Smart Template provides a 90-day free trial of the entire solution.

5. A customer needs to run a generative AI workload at multiple, dispersed edge locations. Each location has significant space and power constraints. The workload is inference-only and does not require the absolute highest performance, but rather a balance of good performance and energy efficiency.
Which HPE ProLiant server and NVIDIA GPU combination is specifically positioned for this type of edge AI use case?

A) HPE ProLiant DL384 Gen12 server with NVIDIA H200 NVL GPUs
B) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
C) HPE Cray system with NVIDIA Grace Hopper Superchips
D) HPE ProLiant DL380a server with NVIDIA H100 NVL GPUs

Solutions: