AI & Machine Learning

A GPU Is Two Things, and Only One of Them Holds Your Model

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A GPU is comprised of two distinct components: cores for computation and VRAM for data storage, with the latter holding the model's weights. Understanding this separation is critical for developers, especially when provisioning cloud infrastructure, as the system RAM (GiB) is separate from the crucial VRAM that directly impacts model loading capacity. This distinction is vital for optimizing AI model deployment and resource allocation.

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