Amazon Web Services vs Cudo Compute
As of , Cudo Compute lists the lower on-demand rate on 3 of the 3 GPUs both offer on-demand. On the priciest shared card both list on-demand, NVIDIA H100 SXM: Amazon Web Services $6.88 (us-east-1) vs Cudo Compute $1.79 (no-kristiansand-1) per GPU-hour on-demand — Cudo Compute is $5.09 (74%) cheaper.
On-demand, per GPU-hour
| GPU | Difference | Cheaper | ||
|---|---|---|---|---|
| NVIDIA H100 SXM median $3.52 · 38 providers · lowest Cudo Compute $1.79 GPU only | $6.88 us-east-1 captured Deploy ↗ | $1.79 no-kristiansand-1 · GPU only captured Deploy ↗ | $5.09 (74%) | Cudo Compute |
| NVIDIA A100 80GB median $2.00 · 58 providers · lowest CloudRift $1.05 | $3.43 us-east-1 captured Deploy ↗ | $1.50 no-kristiansand-1 · GPU only captured Deploy ↗ | $1.93 (56%) | Cudo Compute |
| NVIDIA L40S median $1.40 · 38 providers · lowest CloudRift $0.63 | $1.86 us-east-1 captured Deploy ↗ | $0.87 no-kristiansand-1 · GPU only captured Deploy ↗ | $0.99 (53%) | Cudo Compute |
How this is compared
Cloud GPU rental prices of Amazon Web Services and Cudo Compute, compared per GPU-hour on the GPUs both list. Where a provider has several tiers or regions, its cheapest on-demand rate is used and labelled. Community capacity (RunPod Community Cloud) and marketplace floors are shown only where a provider has nothing else, and never decide which is cheaper.
GPU by GPU
- NVIDIA H100 SXM: Amazon Web Services $6.88 (us-east-1) vs Cudo Compute $1.79 (no-kristiansand-1) per GPU-hour on-demand — Cudo Compute is $5.09 (74%) cheaper.
- NVIDIA A100 80GB: Amazon Web Services $3.43 (us-east-1) vs Cudo Compute $1.50 (no-kristiansand-1) per GPU-hour on-demand — Cudo Compute is $1.93 (56%) cheaper.
- NVIDIA L40S: Amazon Web Services $1.86 (us-east-1) vs Cudo Compute $0.87 (no-kristiansand-1) per GPU-hour on-demand — Cudo Compute is $0.99 (53%) cheaper.
Not compared: GPUs only one of the two lists, reserved/committed tiers, and anything either provider prices only on request. See each provider's page for its full list.
Data updated: