Equation 3 · Part 1 · A Rising FLOPs-per-Byte Ratio Explains Why Nvidia Split the Chip in Two
Symbol R_n
What this part means
the not flops per second call it.
Its job in the formula
is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol R_n→Article meaning
Where the article explains it
The Ratio Doing the Actual Work: FLOPs per Byte, Not FLOPs per Second Call it : the FLOPs-per-second a GPU’s tensor cores can deliver, divided by the bytes-per-second its memory subsystem can supply.
The passage around this formula
…and starts being compute-bound — throughput is capped by bytes moved, not by tensor-core count, and every FLOP of purchased silicon sitting past that ceiling is, for that workload, silicon paid for and not used. A rising does not by itself say anything about whether real workloads are keeping pace with it. It says that the ceiling keeps climbing, and that whatever a chip’s design target is, its designers are betting on workloads with steadily higher arithmetic intensity to justify building it. Six generations…
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A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.
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Sources cited in the article section
- [4] NVIDIA H100 Tensor Core GPU Datasheet ↗
- [5] Hopper (microarchitecture) ↗
- [6] NVIDIA HGX Platform (B200 specifications) ↗
These citations provide research context; check each source for the exact claim it supports.