HPE7-S02 practice question 11 of 25
Question: 93 I Which HPE offering provides a prevalidated joint solution with NVIDIA AI Enterprise for rapid deployment?
Full set: 120 questionsHPE Private Cloud AI is a turnkey, co-engineered solution developed in partnership with NVIDIA. It is specifically designed to provide a prevalidated, integrated stack for rapid deployment of AI workloads. The solution combines HPE's AI-native architecture with NVIDIA's AI Enterprise software and NIM inference microservices, enabling enterprises to quickly develop and deploy generative AI applications in a private cloud environment. This integration simplifies the complexity and accelerates the time-to-value for AI initiatives.
B. HPE Synergy frames: HPE Synergy is a composable infrastructure platform. While it can be a component within an AI solution, it is not the specific, named prevalidated joint solution with NVIDIA AI Enterprise.
C. HPE StoreOnce VSA: HPE StoreOnce VSA (Virtual Storage Appliance) is a data protection and backup solution, not a platform designed for deploying and running AI workloads.
D. HPE Catalyst switches: Catalyst is a brand of network switches manufactured by Cisco, not HPE. HPE's primary networking portfolio is Aruba.
1. HPE Newsroom (Press Release): "HPE and NVIDIA launch NVIDIA AI Computing by HPE to accelerate generative AI adoption." June 18
2024. The release states
"HPE Private Cloud AI is a turnkey solution
co-developed with NVIDIA... It tightly integrates NVIDIA AI Enterprise software
including NVIDIA NIM™ inference microservices..."
Source: hpe.com/us/en/newsroom/press-release/2024/06/hpe-and-nvidia-launch-nvidia-ai-computing-by-hpe-to-accelerate-generative-ai-adoption.html
2. HPE Official Product Page: "HPE Private Cloud AI." The page describes the offering as "A turnkey private cloud for AI
co-engineered with NVIDIA... It includes a full AI software stack
including NVIDIA AI Enterprise and NVIDIA NIM inference microservices
to optimize the AI lifecycle."
Source: hpe.com/us/en/solutions/private-cloud-ai.html (Accessed June 2024).
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