D-PE-OE-23 · Question #48
Which three components do Dell PowerEdge Servers leverage to maximize Al workload throughput? (Select 3)
The correct answer is C. FPGA D. GPU E. CPU. Dell PowerEdge servers combine CPU, GPU, and FPGA to form a complementary acceleration stack for AI workloads. The CPU handles orchestration, pre/post-processing, and general compute tasks. The GPU provides massively parallel processing for matrix operations at the core of AI…
Question
Which three components do Dell PowerEdge Servers leverage to maximize Al workload throughput? (Select 3)
Options
- ADPU
- BASIC
- CFPGA
- DGPU
- ECPU
How the community answered
(58 responses)- A2% (1)
- B5% (3)
- C93% (54)
Explanation
Dell PowerEdge servers combine CPU, GPU, and FPGA to form a complementary acceleration stack for AI workloads. The CPU handles orchestration, pre/post-processing, and general compute tasks. The GPU provides massively parallel processing for matrix operations at the core of AI training and inference. The FPGA offers reconfigurable hardware acceleration that can be tuned for specific AI inference pipelines with low latency and high efficiency.
Why A (DPU) is wrong: DPUs (e.g., NVIDIA BlueField) offload networking, storage, and security tasks - they accelerate data movement, not AI computation throughput directly.
Why B (ASIC) is wrong: While AI ASICs exist (e.g., Google TPUs), Dell PowerEdge servers don't standardize on ASICs as a platform component - they use the programmable/general options above.
Memory tip: Think "CFG" - CPU + FPGA + GPU - the three programmable/flexible compute engines. DPU and ASIC are either infrastructure-focused or vendor-specific, making them easy to eliminate.
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