Fine-Tune Cost Lab

GPU · 1000 TFLOPS dense BF16

H100 SXM fine-tuning cost estimates

All sixteen scenarios on the H100 SXM: GPU-hours, wall-clock on 8 GPUs and the cost range across 6 providers, at 35% MFU. Prices read 12 November 2026. Estimates, not quotes.

The figure

Where 1000 TFLOPS comes from

“Peak BF16 Tensor Core1 · 1000 TFLOPS · 2000 TFLOPS2 · 800 TFLOPS · 1600 TFLOPS2”
developer.nvidia.com

Printed with: “2. Effective TFLOPS / TOPS using the Sparsity feature”

Printed with: “1. Preliminary performance estimates for H100 based on current expectations and subject to change in the shipping products”

The maker labels this figure preliminary. Shipping hardware may differ.

Scenarios

Cost by scenario

Prices used

H100 SXM price by provider

Provider$/GPU-hrConfigurationSource
Thunder Compute$2.951× SXMprice page
Civo$2.991× SXMprice page
Massed Compute$3.141× SXMprice page
Hyperstack$3.201× SXMprice page
RunPod$3.991× SXMprice page
Verda$5.091× SXMprice page

Each provider's lowest listed on-demand configuration for this GPU. Marketplace figures are left out.

Questions

H100 SXM: common questions

What is the lowest cost scenario on the H100 SXM?

7B LoRA fine-tune on 100 million tokens: about $6.56 on Thunder Compute, 2.2 GPU-hours.

What throughput is assumed?

1000 TFLOPS dense BF16 as printed by the maker, times 35% MFU, so about 350 TFLOPS of useful work.

How many providers list it?

6 with a current provider-set on-demand price. Runcrate has no live listing for it.

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