Unverified50% confidenceFactExact time
The author's entire pipeline (including the image generation step) runs on hardware with 1 vCPU and 2 GB of memory, one process at a time, calling gc.collect() between assets and using ru_maxrss to check the real memory peak.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedThe 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 needed79% 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.75% 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.75% similarUnverifiedIn CPU testing, the peak memory usage of Laya's batch classification is approximately 2.7 GB.67% similar
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