Virtual Adaptive Offloading System (vAOS-Engine)
The vAOS-Engine is a lightweight, PyTorch-native runtime controller designed to break the GPU Memory Wall on consumer-grade hardware (e.g., 6GB VRAM laptops).
By virtualizing host CPU RAM as an OS-bypass mmap pool, dynamically scheduling asynchronous PCIe transfers, and utilizing late-stage register-level INT4 dequantization, vAOS allows you to train Massive Transformer models that natively trigger Out-Of-Memory (OOM) crashes.
Quick Start
import torch
from src.api import evaluate_system
from my_models import HeavyTransformer
model = HeavyTransformer()
evaluate_system(model, dummy_inputs, dummy_targets, criterion)
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