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NCA-AIIO - AI Infrastructure - Section 2.10

Explain the purpose and benefits of a DPU in a data centre.

Explain how a Data Processing Unit (DPU) offloads networking, storage, and security tasks from the host CPU, freeing CPU and GPU cycles for AI computation. Recognise how NVIDIA BlueField DPUs enable software-defined networking, data compression, and infrastructure isolation without burdening the primary compute resources.

DPU

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 key components and considerations of accelerated infrastructure clusters.Section 2.5
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

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