GPU Compute Pricing
Transparent pricing for A100, H100, and L40S GPUs. Up to 41% cheaper than hyperscalers with enterprise-grade infrastructure.
Save 40-41% on GPU Costs
Train your models for less. A typical 6-month ML project using 8x A100 saves £14,760 compared to AWS.
NVIDIA A100 40GB
FP32: 19.5 TFLOPS | FP16: 312 TFLOPS | Memory: 40 GB HBM2e
Pelagos (Gibraltar)
AWS (Comparison)
Ideal Use Cases:
NVIDIA A100 80GB
FP32: 19.5 TFLOPS | FP16: 312 TFLOPS | Memory: 80 GB HBM2e
Pelagos (Gibraltar)
AWS (Comparison)
Ideal Use Cases:
NVIDIA H100 80GB
FP32: 51 TFLOPS | FP16: 1,979 TFLOPS | Memory: 80 GB HBM3
Pelagos (Gibraltar)
AWS (Comparison)
Ideal Use Cases:
NVIDIA L40S
FP32: 91.6 TFLOPS | RT Cores | Memory: 48 GB GDDR6
Pelagos (Gibraltar)
AWS (Comparison)
Ideal Use Cases:
Real-World Cost Examples
| Workload | Pelagos | AWS | Your Savings |
|---|---|---|---|
| Train ResNet-50 (100 epochs) | £12.50 | £21.20 | £8.70 (41%) |
| Fine-tune GPT-3 (1B params, 24hrs) | £36.50 | £61.40 | £24.90 (41%) |
| Inference: 1M predictions | £2.80 | £4.70 | £1.90 (40%) |
| 1 year continuous A100 80GB | £8,910 | £15,070 | £6,160 (41%) |
Prices based on A100 80GB usage. AWS prices from EU regions, February 2026.
No Hidden Fees
Simple per-GPU pricing includes storage, network, and support
Flexible Billing
Pay hourly, monthly, or annual with volume discounts available
Instant Scaling
Add or remove GPUs in minutes via API without contract changes
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GPU Pricing FAQ
Common questions about GPU compute costs and billing