One hour
$1.19
1 GPU × 1h · compute only
Ampere cloud GPU
Rent an NVIDIA A100 80 GB GPU for proven AI stacks.
Direct answer
NVIDIA A100 80 GB remains a practical cloud GPU for training, fine-tuning and HPC stacks optimized for Ampere. GPURento lists a $1.19 per GPU-hour on-demand rate with self-service creation in Paris and Frankfurt after the workspace is funded.
Reviewed by the GPURento infrastructure team · September 1, 2026
Cost scenarios
What one A100 80GB costs at the listed rate.
One day
$28.56
1 GPU × 24h · compute only
Seven days
$199.92
1 GPU × 168h · compute only
Average month · 730h
$868.70
1 GPU × 730h · compute only
| Memory | 80 GB HBM2e | A100 configuration listed in the catalog. |
|---|---|---|
| Architecture | Ampere | Broad CUDA framework support. |
| On-demand rate | $1.19 / GPU-hour | Compute only before add-on services. |
| Available regions | Paris · Frankfurt | Both are exposed in the funded dashboard. |
Best for
- Training and fine-tuning on mature CUDA stacks
- HPC workloads already validated on Ampere
- 80 GB jobs where H100 speed is not required
- Teams optimizing cost per run rather than newest generation
Not the best fit when
- Workloads that specifically need Hopper FP8 features
- Models that exceed 80 GB without acceptable sharding
- Graphics-first rendering workflows better matched to RTX or L40S
Decision method
What to verify before you deploy capacity.
The content below separates published specifications, GPURento catalog references and decisions that still require a workload benchmark.
01
A100 can still win on total cost
A lower hourly rate can make A100 the better choice when a workload scales well enough and the deadline allows it. The relevant comparison is dollars per completed run, with the same software and quality target.
- Benchmark time to checkpoint
- Include restart and storage overhead
- Compare achieved throughput, not theoretical peak
02
Use the 80 GB configuration deliberately
The extra memory over 24–48 GB GPUs can avoid aggressive quantization or complex sharding. For fine-tuning, include model weights, gradients, optimizer state, activations and framework overhead in the estimate.
03
Create in Paris or Frankfurt
GPURento exposes A100 80 GB in both EU regions. A funded account can create the configuration, then follow the resource state in the dashboard.
Catalog shortlist
Relevant GPU options.
AmpereAvailable
NVIDIA A100 80GB
80 GB HBM2e · $1.19/hr
Training, fine-tuning and HPC
EU West · ParisEU Central · Frankfurt
HopperAvailable
NVIDIA H100 SXM
80 GB HBM3 · $2.69/hr
Intensive training and FP8 inference
EU West · ParisEU Central · Frankfurt
AdaAvailable
NVIDIA L40S
48 GB GDDR6 ECC · $0.79/hr
Production inference, fine-tuning and video
EU West · ParisEU Central · Frankfurt
Questions
Clear answers, including the limits.
What is the GPURento A100 price?+
The catalog currently starts at $1.19 per A100 80 GB GPU-hour, excluding storage and optional networking.
Is A100 enough for LLM fine-tuning?+
Often, but it depends on model size, precision, optimizer and technique. LoRA or QLoRA can substantially reduce memory compared with full fine-tuning.
A100 or H100?+
Use an end-to-end benchmark. A100 offers a lower hourly reference, while H100 can finish transformer workloads faster and supports newer acceleration paths.
Sources and scope
Last reviewed September 1, 2026. GPURento rates are current catalog references; provisioning state remains visible in the workspace, and manufacturer specifications do not substitute for workload benchmarks.
Continue the research
Deployment plan
Deploy a proven 80 GB training configuration.
Fund the workspace, choose Paris or Frankfurt and save the exact image, storage and access settings.