Free HP HPE2-B08 Exam Dumps Questions & Answers

An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

• A.HPE Alletra Storage MP with RoCE-capable network adapters
• B.HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
• C.HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs
• D.HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge

A financial services company, currently at the 'AI Pro' maturity level, wants to build a private cloud solution to support two primary initiatives:
1. Initiative 1: Fine-tune a proprietary 70B parameter LLM for fraud detection, requiring maximum training performance.
2. Initiative 2: Deploy a customer-facing RAG-based chatbot for 500 concurrent users.
The customer wants a single, integrated solution that can handle both workloads efficiently. They have a new data center with ample power and cooling.
Which HPE Private Cloud AI configuration should the architect recommend?

• A.Two separate solutions: a Small - Expanded for the RAG workload and a Large - Standard for the fine-tuning workload.
• B.A custom-built solution using HPE ProLiant DL325 servers and NVIDIA L4 GPUs.
• C.Medium - Expanded, because it supports a high number of concurrent users for RAG.
• D.Large - Expanded, because its NVIDIA H100 NVL GPUs and eight worker nodes are required for the intensive fine-tuning workload.

What is the primary purpose of using the "Private Cloud Smart Template" within HPE One Config Advanced (OCA) when quoting an HPE Private Cloud AI solution?

• A.To provide a free trial license for the VMware and NVIDIA software.
• B.To automatically generate a network diagram and rack elevation for the customer.
• C.To ensure a fast, easy, and validated process for generating a complete and accurate Bill of Materials (BOM) for a pre-integrated solution.
• D.To allow for complete customization of every component, including unsupported hardware.

An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?

• A.3x HPE ProLiant DL325 Gen11 servers for management
• B.4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
• C.1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
• D.2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs

An architect is designing an AI solution to create a medical chatbot that assists doctors by answering questions based on the latest published medical research. The system must be highly reliable, and its answers must be traceable to the source publications. The customer has highlighted that their internal data science team lacks the expertise for complex model retraining but can manage data ingestion pipelines.
Given the customer requirements, which architectural components should the architect include in the solution design? (Select all that apply.)
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Customer Requirements:
- AI Use Case: Medical Research Q&A Chatbot
- Key Constraint: Information must be current and verifiable.
- Team Skills: Limited AI model training expertise.
- Data Source: Continuously updated database of medical journals.
```

• A.A vector database to store embeddings of the medical research papers.
• B.A pre-trained, general-purpose Large Language Model (LLM).
• C.An edge-optimized server for model deployment in individual hospital rooms.
• D.A data ingestion and embedding pipeline to process and add new research to the vector database.
• E.A process for daily fine-tuning of the base LLM on all new research papers.
• F.A Retrieval-Augmented Generation (RAG) framework to query the vector database.