Four minutes is a 15 GB image pulled through one registry connection; the CUDA error is a container runtime newer than the host driver. The pull arithmetic layer by layer, what a cache hit actually saves, the compatibility rule with its two exceptions, and the image layout that makes both problems go away.
Our GPU pods take four minutes to start on a fresh node and sometimes fail with 'no CUDA-capable device'. Walk me through both.
Four minutes is a 15 GB image pulled through one registry connection; the CUDA error is a container runtime newer than the host driver. The pull arithmetic layer by layer, what a cache hit actually saves, the compatibility rule with its two exceptions, and the image layout that makes both problems go away.
Updated Sep 2026 · Grounded in real AI infrastructure interview loops and written to a senior-engineer editorial bar, with every number worked and every diagram hand-built.
The concepts behind this question
Ranked by how closely each one overlaps this question's topic, so the first card is the thing to read if the answer above moved too fast.
Scored on splitting the pull into layers with a size and a cache status each, on stating the driver-runtime rule precisely (forward compatibility and minor-version compatibility are the two exceptions), and on putting weights outside the image.
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