GPU · 149.7 TFLOPS dense BF16
A40 fine-tuning cost estimates
All sixteen scenarios on the A40: GPU-hours, wall-clock on 8 GPUs and the cost range across 3 providers, at 35% MFU. Prices read 12 November 2026. Estimates, not quotes.
The figure
Where 149.7 TFLOPS comes from
“Peak BF16 Tensor TFLOPS with FP32 Accumulate 149.7 · 299.4*”
Scenarios
Cost by scenario
Prices used
A40 price by provider
| Provider | $/GPU-hr | Configuration | Source |
|---|---|---|---|
| RunPod | $0.59 | 1× | price page |
| Vultr | $1.71 | 1× | price page |
| Runcrateours, live | $2.66 | 1× | price page |
Each provider's lowest listed on-demand configuration for this GPU. Marketplace figures are left out.
Questions
A40: common questions
What is the lowest cost scenario on the A40?
7B LoRA fine-tune on 100 million tokens: about $8.76 on RunPod, 15 GPU-hours.
What throughput is assumed?
149.7 TFLOPS dense BF16 as printed by the maker, times 35% MFU, so about 52 TFLOPS of useful work.
How many providers list it?
3 with a current provider-set on-demand price. Runcrate is one of them at $2.66 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 A40, 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.