Developers running large‑scale models on GPUs often face silent allocation failures that nvidia‑smi can’t explain, leaving them guessing the root cause and wasting memory. TensorScout delivers real‑time, granular visibility into every buffer request, failure reason, and fragmentation pattern, enabling precise tuning and efficient GPU utilization.
>But nvidia-smi only showed Xorg using 200M out of the 24G, so why would a 911M alloc fail?That was just the last buffer allocation request that failed, it didn't tell you by how much it failed by. It could have failed it by a few kilobytes, it could have failed it by 910MB. One would guess it probably failed it by a couple hundred megabytes in the end judging by your results.
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