Fine-Tune Cost Lab

GPU · 312 TFLOPS dense BF16

A100 80GB fine-tuning cost estimates

All sixteen scenarios on the A100 80GB: GPU-hours, wall-clock on 8 GPUs and the cost range across 12 providers, at 35% MFU. Prices read 12 November 2026. Estimates, not quotes.

The figure

Where 312 TFLOPS comes from

“BFLOAT16 Tensor Core · 312 TFLOPS · 624 TFLOPS* ·”
nvidia.com

Scenarios

Cost by scenario

Prices used

A100 80GB price by provider

Provider$/GPU-hrConfigurationSource
Thunder Compute$1.091×price page
Hyperstack$1.351×price page
Massed Compute$1.351×price page
Runcrateours, live$1.731×price page
Civo$1.791×price page
RunPod$1.791× PCIeprice page
Crusoe$2.001× PCIeprice page
Verda$2.341× SXMprice page
Vultr$2.401× PCIeprice page
CoreWeave$2.708×price page
OVHcloud$3.071×price page
Amazon Web Services$3.438×price page

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

Questions

A100 80GB: common questions

What is the lowest cost scenario on the A100 80GB?

7B LoRA fine-tune on 100 million tokens: about $7.76 on Thunder Compute, 7.1 GPU-hours.

What throughput is assumed?

312 TFLOPS dense BF16 as printed by the maker, times 35% MFU, so about 109 TFLOPS of useful work.

How many providers list it?

12 with a current provider-set on-demand price. Runcrate is one of them at $1.73 live, marked as ours.

Related

Disclosure

Fine-Tune Cost Lab is published by the Runcrate team, who also run Runcrate, an AI cloud. Runcrate is listed in the table for A100 80GB, marked "ours, live". It is sorted by price like every other row, with no pinned position. Other providers' prices are read from their own public pricing pages. We have no paid placement.