A100 Rental Cost Calculator
Estimate NVIDIA A100 rental cost for fine-tuning, inference, notebooks, Stable Diffusion, and legacy training jobs. Model GPU-hours, A100 40GB vs 80GB pricing, utilization, storage, networking, and the buy-vs-rent break-even point.
Tracking 13 A100 providers where pricing is available. Last pricing refresh: Jan 15, 2026.
Calculate A100 GPU Rental Cost
Estimated A100 rental cost
How to use the A100 rental cost calculator
Choose an A100 hourly rate
Start from a tracked A100 provider row, a budget GPU cloud estimate, a hyperscaler estimate, or your own quote.
Set GPU count and schedule
Enter the number of A100 GPUs, active hours per day, run length, and expected utilization for the workload.
Add real overhead
Include storage, bandwidth, persistent volumes, notebook idle time, support, orchestration, and failed-run retries.
Compare alternatives
Use the break-even estimate to decide whether A100 rental, H100 rental, RTX 4090 rental, or buying hardware is cleaner.
Example A100 rental cost scenarios
| Scenario | GPUs | Schedule | Rate | Estimated compute cost | Decision signal |
|---|---|---|---|---|---|
| Notebook experiment | 1 | 6 hr/day x 3 days | $0.280/GPU-hr | $5.04 | Rent is likely safer |
| Fine-tuning sprint | 4 | 8 hr/day x 14 days | $1.50/GPU-hr | $669.76 | Rent is likely safer |
| Always-on inference test | 2 | 24 hr/day x 30 days | $0.280/GPU-hr | $403.06 | Rent is likely safer |
| Small training cluster month | 16 | 16 hr/day x 30 days | $1.50/GPU-hr | $11.5k | Rent is likely safer |
What changes the real A100 rental price?
A100 40GB vs 80GB
A100 80GB costs more but can avoid sharding or offload for larger models; A100 40GB can be enough for smaller training and inference jobs.
Spot and interruption risk
Spot A100 pricing can be attractive when checkpoints are reliable, but failed runs can erase the discount for fragile training jobs.
Full instance shape
Cloud A100 prices may include CPU, RAM, local disk, networking, support, and minimum billing increments, not only the GPU card.
Utilization
Idle notebooks, stopped pods with storage charges, queue time, and slow data loading can make realized cost higher than the list hourly rate.
Reserved commitments
AWS, Google Cloud, Azure, and GPU clouds may discount committed use, but the lock-in only helps predictable workloads.
Migration path
A100 remains useful for mature CUDA workflows, but H100, H200, L40S, or RTX 4090 can be better depending on memory, throughput, and budget.
Tracked A100 provider rates
| Provider | GPU | Instance | On-demand / GPU-hour | Spot / GPU-hour | Availability |
|---|---|---|---|---|---|
| Vast.ai | A100 PCIe | vastai-a100-pcie | $0.280 | $0.160 | - |
| Datacrunch (Verda) | A100 40GB | datacrunch-a100-40gb-pcie | $0.720 | - | - |
| Oracle Cloud | A100 40GB | oracle-gpu-a100 | $1.00 | - | - |
| Paperspace | A100 80GB | paperspace-a100-80gb-sxm | $1.15 | - | - |
| CoreWeave | A100 40GB | coreweave-a100-40gb-pcie | $1.21 | - | - |
| Datacrunch (Verda) | A100 80GB | datacrunch-a100-80gb-sxm | $1.29 | - | - |
| Jarvis Labs | A100 80GB | jarvislabs-a100-80gb-sxm | $1.29 | - | - |
| Lambda Labs | NVIDIA A100 40GB SXM | lambda-a100-40gb-sxm | $1.29 | - | - |
| Lambda Labs | A100 40GB | lambda-a100-40gb-pcie | $1.29 | - | - |
| Fluidstack | A100 80GB | fluidstack-a100-80gb-sxm | $1.30 | - | - |
| RunPod | A100 80GB | NVIDIA A100 80GB PCIe | $1.39 | $0.820 | - |
| RunPod | A100 80GB | NVIDIA A100-SXM4-80GB | $1.49 | $0.950 | - |
For all GPUs and provider filters, use the cloud GPU pricing comparison.
A100 rental vs H100, L40S, and RTX 4090
Rent A100 when
- You need mature CUDA support, 40GB or 80GB memory, and stable pricing for fine-tuning or inference.
- The job does not need H100-class throughput but is too large for consumer GPU memory.
- You want a widely available data-center GPU with broad framework and container support.
- Spot A100 capacity is available and your training pipeline checkpoints reliably.
Model another GPU when
- H100 finishes the same job much faster and the time savings offset its higher hourly rate.
- L40S or RTX 4090 is cheaper for inference, image generation, or rendering workloads that fit in VRAM.
- MI300X or H200 memory reduces sharding enough to lower cost per completed job.
- Steady 24/7 usage makes used A100 hardware or reserved capacity worth modeling.
For a higher-throughput baseline, compare this estimate with the H100 rental cost calculator, RTX 5090 rental cost calculator, and A100 vs H100 comparison.
Useful A100 pricing and specification references
GPU Cost tracks provider rows where available, but final rental decisions should also check official source pages: NVIDIA A100 specifications, AWS P4 A100 instances, Google Cloud GPU pricing, and Azure VM pricing.
A100 Rental Cost FAQ
A100 rental price depends on provider, region, A100 40GB versus 80GB configuration, instance shape, networking, and spot availability. Specialized GPU clouds can be cheaper, while hyperscalers may include stronger enterprise controls.
Multiply the per-GPU hourly rate by GPU count, active hours per day, days, and expected utilization. Then add storage, bandwidth, support, idle time, persistent volumes, and provider platform fees.
A100 80GB is worth modeling when the workload needs larger batches, larger checkpoints, or fewer model shards. A100 40GB can be better value when the model fits comfortably and availability is stronger.
A100 is usually cheaper per hour, but H100 can finish some training or inference jobs faster. Compare cost per completed job, not only hourly price.
Buying starts to make sense when utilization is steady for many months and you can manage power, cooling, server compatibility, failures, financing, and depreciation. Short experiments and variable demand usually favor rental.
