seniorPyTorch

What is memory pinning and how does it interact with non_blocking GPU transfers?

Updated May 17, 2026

Short answer

Pinned memory enables faster asynchronous CPU-to-GPU transfers using DMA.

Deep explanation

Pinned (page-locked) memory prevents OS from moving data, allowing GPU DMA engines to copy data directly. When combined with non_blocking=True, transfers can overlap with compute, improving throughput in pipelines.

Unlock with a Pro subscription to view this section.

View pricing

Real-world example

No real-world example available yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

Common mistakes

No common mistakes listed yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

Follow-up questions

No follow-up questions available yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

More PyTorch interview questions

View all →