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Openai/692db884-c2d8-800c-a357-aa2a0e684fbe
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==== 3. How to phrase it without overselling ==== If you’re talking to a serious infra person, I’d phrase it like this: : “LoreToken-GPU doesn’t change the raw 80 GB of HBM on an H100, but it can lift the effective usable capacity into the 160–320 GB range for many LLM workloads by keeping most states compressed and only inflating what’s needed per operation. The exact multiplier depends on how LoreToken-friendly the workload is, but even a 2× gain turns one H100 into the equivalent of two in VRAM terms.” That’s: * Honest * Impressive * And leaves room to say, “We can tune workloads upward from there.” If you want, next step we can write a tiny 3-row table: * “Raw H100” * “H100 + basic quantization” * “H100 + LoreToken-GPU” with capacity / power / cost-per-token columns you can drop straight into a README or deck.
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