How do you calculate how much VRAM an LLM needs?
To serve an LLM, add the weights (parameters x bytes per parameter at your precision) to the KV cache (2 x layers x key-value heads x head size x bytes x tokens in flight), then divide by 0.92 for the headroom a serving engine keeps. Nodus turns that number into hardware: set minMemory on a Job and…
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- 2026-11-14 21:32 · DEV Community — Machine Learning
How do you calculate how much VRAM an LLM needs?