Freaks City

Memory Allocation Dynamics in Distributed Training Training massive neural networks introduces severe GPU VRAM bottlenecks that traditional data parallelism cannot resolve. In a standard multi-GPU setup, memory consumption is dominated by two distinct categories: model states and residual memory. Model states encompass trainable parameters, gra ...