GPU · 125 TFLOPS dense BF16
A10 fine-tuning cost estimates
All sixteen scenarios on the A10: GPU-hours, wall-clock on 8 GPUs and the cost range across 4 providers, at 35% MFU. Prices read 12 November 2026. Estimates, not quotes.
The figure
Where 125 TFLOPS comes from
“BFLOAT16 Tensor Core · 125 teraFLOPS · 250 teraFLOPS* ·”
Scenarios
Cost by scenario
Prices used
A10 price by provider
| Provider | $/GPU-hr | Configuration | Source |
|---|---|---|---|
| OVHcloud | $1.00 | 1× | price page |
| Runcrateours, live | $1.85 | 1× | price page |
| Oracle Cloud | $2.00 | 1× | price page |
| Microsoft Azure | $3.20 | 1× | price page |
Each provider's lowest listed on-demand configuration for this GPU. Marketplace figures are left out.
Questions
A10: common questions
What is the lowest cost scenario on the A10?
7B LoRA fine-tune on 100 million tokens: about $18 on OVHcloud, 18 GPU-hours.
What throughput is assumed?
125 TFLOPS dense BF16 as printed by the maker, times 35% MFU, so about 44 TFLOPS of useful work.
How many providers list it?
4 with a current provider-set on-demand price. Runcrate is one of them at $1.85 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 A10, 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.