This is deadass wrong as that Puget statement was in the context of system memory, nothing to do with pooling: > How much RAM does machine learning and AI need?

>The first rule of thumb is to have at least double the amount of CPU memory as there is total GPU memory in the system. For example, a system with 2x GeForce RTX 3090 GPUs would have 48GB of total VRAM – so the system should be configured with 128GB (96GB would be double, but 128GB is usually the closest configurable amount).