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NCA-AIIO - AI Infrastructure - Section 2.5

Identify key components and considerations of accelerated infrastructure clusters.

Identify the key components of an accelerated computing cluster, including GPU servers, high-speed compute fabric, storage systems, and out-of-band management networks. Recognise considerations such as GPU-to-GPU interconnect bandwidth, storage I/O throughput, and network topology that affect overall cluster performance for AI workloads.

More in this domain

Identify hardware requirements for specific AI training task use cases.Section 2.1
Scale a GPU infrastructure for different use cases.Section 2.2
Identify key concepts and high-level specifications for power and cooling.Section 2.3
Articulate the advantages, challenges, and considerations of on-premise versus cloud infrastructure.Section 2.4
Identify facility requirements for accelerated infrastructure.Section 2.6
Determine networking requirements for AI workloads.Section 2.7
Identify and describe data centre networking protocols and key concepts.Section 2.8
Identify high-speed data centre network options and their use cases.Section 2.9
Explain the purpose and benefits of a DPU in a data centre.Section 2.10

Back to all AI Infrastructure objectives, or the NCA-AIIO cert hub.

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