◈TokenSuper ComputeGLOBAL AI COMPUTE
Computing Power Basics / TOKEN WIKI There is a difference between the theoretical peak value of

Video Memory/VRAM

In one sentence

video memory is a dedicated memory used by the GPU to store model weights, intermediate states and other calculation data.

Why it matters

model weight is not the only one occupied. Long context, KV Cache and concurrency will also increase memory requirements.

Practical considerations

uses the actual deployment framework to test the peak memory, leaving system overhead and operating margin. Quantization reduces some weight memory. Can the

FAQ

model weight be installed and run stably?

Not necessarily, additional memory is required for runtime state and concurrent requests.

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