Unverified50% confidenceDecision RuleExact time
On a single-core 2GB machine, images should be processed serially one task at a time, avoiding parallelism, because parallelism causes two tasks to each get half the memory and both fail; serial processing is faster over the whole batch, because no tasks are killed and restarted
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOn a machine with 2GB of memory, running multiple parallel processes for image tasks reduces efficiency due to resource contention; calling gc.collect() after processing each asset helps free memory between assets.80% similarUnverifiedThe fact that 96GB of VRAM can fit two models simultaneously does not mean two tasks can run at full speed simultaneously, because GPU compute resources are shared and competed over.72% similarUnverifiedThis model should not be loaded into a process or container that is already running the main business; a separate container with a separate memory limit should be used, because memory doubles momentarily during loading.72% similarUnverifiedWhen the 120B coordinator is resident (about 77GB), only about 3GB of memory is free in the system; in a multi-image run the first image completes and the remaining images time out at the 300-second limit and fall back to placeholders.69% similar
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