Unverified50% confidenceSolutionExact time
On a single-core server with 2 GB of memory, run only one process at a time, call gc.collect() to free memory after each asset is processed, and measure peak RSS rather than average usage with resource.getrusage(RUSAGE_SELF).ru_maxrss.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
Partially Verifiedresource.getrusage(RUSAGE_SELF).ru_maxrss returns on Linux the peak resident memory of the current process since startup, in kilobytes; monitoring peak RSS is more effective at preventing OOM than monitoring the average.75% similarUnverifiedThe entire system runs on a server with 1 vCPU, 2 GB of memory, and no GPU; the author recommends running only one process at a time, calling gc.collect() between assets, measuring peak memory with resource.getrusage, and rendering at the resolution actually needed74% similarUnverifiedOn 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.68% similarUnverifiedThe author runs the entire pipeline on a server with 1 vCPU, 2 GB of memory, and no GPU, and recommends running only one process at a time on a single core and calling gc.collect() after processing each asset.67% similarUnverifiedOn a server with 1 vCPU / 2 GB of memory, knowing whether peak memory is approaching the OOM line is more useful than knowing average usage; ru_maxrss records the historical high-water mark and can catch short memory bursts.67% similar
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