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Memory & runtime / NVIDIA GB10

The model fits on paper. Why does loading still fail?

On Spark, unified memory and application behavior need to be considered together. A memory estimate is only the first check.

Source-backed lessonNVIDIANVIDIA guide · annotated by UT LabReviewed 9 September 2026

CONTEXT

Why this comes up

NVIDIA’s LM Studio troubleshooting guide describes memory issues that can occur on DGX Spark even within the system’s stated memory capacity.

THE USEFUL LESSON

Physical capacity, available memory and the way a runtime uses unified memory are different things. Record the software environment and system state before concluding that the hardware cannot run a model.

ON YOUR MACHINE

What to record and test

  1. 01

    Record the exact model file, quantization, context setting, runtime version and OS.

  2. 02

    Check what is already using memory, including other applications and model servers.

  3. 03

    Compare a clean model load with the failing state. Preserve the error and memory observations.

  4. 04

    Follow the current vendor troubleshooting guidance; record which intervention helped and whether the issue returns.

This summarizes a published NVIDIA guide. UT has not published an independent reproduction of this specific issue here. Do not assume the same behavior across every GB10 OEM system.
READ THE ORIGINAL WORKNVIDIA · LM Studio on DGX Spark