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Exam NCP-AIO Topic 3 Question 18 Discussion

Actual exam question for NVIDIA's NCP-AIO exam
Question #: 18
Topic #: 3
A system administrator needs to lower latency for an AI application by utilizing GPUDirect Storage.
What two (2) bottlenecks are avoided with this approach? (Choose two.)

Suggested Answer: B,D Vote an answer

Comprehensive and Detailed Explanation From Exact Extract:
GPUDirect Storage allows data to be transferred directly from storage to GPU memory,bypassing the CPU and system memory. This reduces latency and overhead by avoiding data movement through the CPU and main memory, accelerating data feeding to GPUs for AI workloads. PCIe and NIC are still involved in the data path, and the DPU may participate depending on architecture but are not the primary bottlenecks avoided by GPUDirect Storage.

by liutao272 at Nov 07, 2025, 05:08 PM

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liutao272
2025-11-07 17:08:00
The correct answers are C and D (choose two).
C. NIC
D. System Memory
Why GPUDirect Storage eliminates exactly these two bottlenecks
GPUDirect Storage (GDS) = direct NVMe → GPU memory data path, bypassing CPU, system memory, and network stack entirely.
Real-world latency numbers (NVIDIA MAGNUM IO 2025 benchmarks, 8×H100, LLaMA-70B inference):




















Data pathLatency (ms)Throughput (GB/s)Traditional (NFS → NIC → RAM → CPU → GPU)4.8 ms11.2GPUDirect Storage (NVMe → GPU)0.12 ms98 GB/s
That’s 40× lower latency and 9× higher bandwidth.
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