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HPE0-S54 · Question #62

A customer operates a High Performance Cluster (HPC) environment and wants to innovate and maximize GPU processing. Which solution should the customer use for scaling-out?

The correct answer is A. Apollo. HPE Apollo is purpose-built for HPC and AI/ML workloads, designed specifically to support dense GPU configurations, high-bandwidth interconnects (like NVLink/InfiniBand), and the thermal/power demands of GPU-intensive scale-out environments. The Apollo 6500, for example…

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Question

A customer operates a High Performance Cluster (HPC) environment and wants to innovate and maximize GPU processing. Which solution should the customer use for scaling-out?

Options

  • AApollo
  • BProLiant DL servers
  • CSynergy
  • DProLiant c-Class

How the community answered

(22 responses)
  • A
    91% (20)
  • B
    5% (1)
  • D
    5% (1)

Explanation

HPE Apollo is purpose-built for HPC and AI/ML workloads, designed specifically to support dense GPU configurations, high-bandwidth interconnects (like NVLink/InfiniBand), and the thermal/power demands of GPU-intensive scale-out environments. The Apollo 6500, for example, supports up to 8 GPUs per node, making it the clear fit for maximizing GPU processing.

Why the distractors are wrong:

  • B. ProLiant DL - General-purpose rack servers; versatile but not optimized for HPC GPU density or scale-out.
  • C. Synergy - HPE's composable infrastructure platform, designed for flexible, software-defined enterprise workloads - not HPC specialization.
  • D. ProLiant c-Class - An older blade server platform for general enterprise use; limited GPU support and not built for HPC scale-out.

Memory tip: Think "A for Astrophysics" - Apollo (like NASA's moon mission) is built for extreme, high-performance missions. When the question says HPC + GPU + scale-out, Apollo is your rocket ship; the others are standard vehicles.

Topics

#HPC#GPU processing#Apollo#scale-out

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