Open-Source Memory Orchestrator Stops CUDA OOM on 8GB GPUs

A developer open-sourced MEM Orchestrator, a lightweight PyTorch runtime layer that dynamically adjusts batch size to avoid CUDA OOM, enabling a 130M model to train for 1 million steps on an 8GB RTX 5060 Ti without crashing.

2026-09-10 ~ 2026-09-11 · 2 related posts

• Adaptive VRAM governor keeps 130M model training for 1M steps on an 8GB GPU without OOM — uBazzyZ- · 2026-09-10
• Open-source governor avoids PyTorch OOMs on 8GB GPUs by dynamically downshifting batch size — uBazzyZ- · 2026-09-11