Choose A100 for a mature, cost-first baseline
A100 remains useful when the stack is already validated on Ampere, 80 GB is sufficient and a lower hourly rate matters more than the newest acceleration path.
Review A100 rentalFine-tuning GPU comparison
A100 vs H100 for fine-tuning: memory, Hopper features and cost per checkpoint.
Reviewed September 1, 2026
A100 80 GB has the lower catalog rate at $1.19/hr and fits mature Ampere fine-tuning stacks. H100 SXM keeps 80 GB but adds the Hopper acceleration path at $2.69/hr. H100 is economical only when measured time to checkpoint offsets its higher hourly rate.
Direct decision
Start with A100 when 80 GB is enough and cost per hour is the priority. Test H100 with the same model and dataset when Hopper-compatible kernels could reduce runtime; it must complete the identical job in less than 44.2% of the A100 time to offset only the 2.26× rate.
Side-by-side evidence
Compare what can be verified.
Catalog prices are planning values. Manufacturer specifications are not workload benchmarks, and requestable capacity is not a promise of immediate stock.
| Criterion | NVIDIA A100 80 GB Mature Ampere baseline | NVIDIA H100 SXM Hopper training path | How to read it |
|---|---|---|---|
| Architecture | Ampere | Hopper | Software compatibility and optimized kernels matter. |
| GPU memory | 80 GB HBM2e | 80 GB HBM3 | Both listed configurations provide 80 GB; memory alone does not decide the winner. |
| Official memory bandwidth | Up to 2.04 TB/s | 3.35 TB/s | Published specifications, not measured fine-tuning throughput. |
| Catalog rate | $1.19/hr | $2.69/hr | Compute-only planning rate; capacity is checked when requested. |
| 24-hour compute scenario | $28.56 | $64.56 | One GPU, continuous compute, excluding storage and networking. |
| 120-hour pilot scenario | $142.80 | $322.80 | Use measured runtime instead of assuming the pilot lasts 120 hours. |
| Compute covered by $50 | 42.0 hours | 18.6 hours | Theoretical compute-only hours before storage and fees. |
| Cost break-even runtime | Baseline 100% | Below 44.2% of A100 runtime | H100 must finish the identical job over 2.26× faster to offset only the hourly-rate difference. |
Choose H100 when measured runtime justifies it
H100 is worth testing for Hopper-aware kernels, FP8-capable workflows and time-sensitive training. The benchmark—not the generation name—must justify the premium.
Review H100 rentalUse the fine-tuning method that fits the goal
LoRA, QLoRA and full fine-tuning have different memory and checkpoint profiles. Select the method before selecting the GPU.
Open the fine-tuning guideComparison method
Keep every assumption visible.
The useful result is cost per accepted job under the same inputs, software and quality target—not a ranking built from peak specs.
01
Budget the complete training state
Weights are only the start. Include gradients, optimizer state, activations, temporary buffers, sequence length and batch target. Parameter-efficient methods need a separate calculation from full fine-tuning.
02
Treat H100 SXM and H100 NVL as different systems
Form factor, memory and topology affect compatibility and scaling. This page compares the listed A100 80 GB with H100 SXM; verify the exact H100 configuration before drawing conclusions.
03
Measure time and cost per accepted checkpoint
Keep model revision, dataset, precision, batch, sequence length, checkpoint schedule and quality evaluation fixed. Record end-to-end time, not only step time.
- Record peak memory and out-of-memory retries
- Include data loading and checkpoint I/O
- Compare final evaluation quality before cost
Questions
Answers without a fake winner.
Is H100 always better than A100 for fine-tuning?+
No. H100 can provide a newer acceleration path, but A100 may have the lower total cost when the stack is mature and the measured runtime reduction does not offset H100’s higher hourly rate.
Do A100 and H100 both have 80 GB?+
The listed A100 80 GB and H100 SXM configurations both have 80 GB. H100 NVL is a separate 94 GB configuration and should not be treated as identical to H100 SXM.
What should an A100 vs H100 benchmark record?+
Record model and dataset revisions, precision, tuning method, batch, sequence length, peak VRAM, step time, checkpoint time, end-to-end runtime and final evaluation quality.
Which one is cheaper per hour?+
A100 80 GB is listed at $1.19/hr and H100 SXM at $2.69/hr.
Sources and observation date
- NVIDIA A100 product pageOfficial Ampere and A100 80 GB platform specifications.
- NVIDIA H100 product pageOfficial Hopper, Transformer Engine and memory specifications.
Reviewed September 1, 2026. Recheck live prices, regions and capacity before making a purchase or migration decision.
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