FLOPS, TFLOPS, PFLOPS

Also known as: TeraFLOPS, PetaFLOPS, FLOP/s

Floating-point operations per second: how much arithmetic a chip can do. 1 TFLOPS is a trillion per second, 1 PFLOPS (PetaFLOPS) is a thousand TFLOPS. PetaPrice shows all compute in PFLOPS.

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Ranked by $ per PFLOP-hour of dense FP16 / BF16 at each GPU's lowest on-demand price.

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Related terms

Dense vs. sparse FLOPSVendors often quote tensor throughput with 2:4 structured sparsity, which doubles the headline number. Almost no training or inference uses it, so PetaPrice always shows dense figures.
$ per PFLOP-hourThe price of one GPU-hour divided by the GPU's dense peak PFLOPS at a chosen precision. It shows how much compute a dollar buys, so fast expensive GPUs and slow cheap ones can be compared directly. Lower is better.
PrecisionHow many bits each number uses. Fewer bits mean more throughput and less memory, at some cost in accuracy. The same GPU has a different peak for each precision.
MFU (model FLOPS utilization)The share of peak FLOPS a real workload achieves. Large training runs typically reach 30–60%, so datasheet peaks are for comparing GPUs, not for predicting run time.

Compute

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