DataCrunch (Verda) vs GPU.ai
9 GPUs in common. DataCrunch (Verda) is cheaper on 0, GPU.ai on 9; on average GPU.ai is 28% below DataCrunch (Verda).
Prices collected 2026-10-11
Every GPU both price
| GPU | DataCrunch (Verda) | GPU.ai | Difference | Market |
|---|---|---|---|---|
 NVIDIA B300 | $9.53 | $8.99 | GPU.ai −6% | $8.00 |
| NVIDIA B200 | $7.94 | $7.56 | GPU.ai −5% | $6.99 |
| NVIDIA H200 | $5.49 | $4.44 | GPU.ai −19% | $4.50 |
| NVIDIA H100 SXM | $4.21 | $3.73 | GPU.ai −12% | $3.50 |
| NVIDIA RTX PRO 6000 Blackwell | $2.26 | $1.84 | GPU.ai −19% | $2.23 |
| NVIDIA A100 80GB | $1.93 | $1.16 | GPU.ai −40% | $1.79 |
| NVIDIA L40S | $1.74 | $0.70 | GPU.ai −60% | $1.29 |
| NVIDIA RTX 6000 Ada | $1.25 | $0.65 | GPU.ai −48% | $0.89 |
| NVIDIA RTX A6000 | $0.71 | $0.40 | GPU.ai −43% | $0.58 |
Only one of them has it
Questions
Is DataCrunch (Verda) or GPU.ai cheaper?
On the 9 GPUs both price on 2026-10-11, DataCrunch (Verda) is cheaper on 0 and GPU.ai on 9. On average GPU.ai is 28% cheaper than DataCrunch (Verda) across those GPUs. The table shows each one; the gap is rarely uniform.
What does one have that the other does not?
DataCrunch (Verda) alone prices A100 40GB, V100 16GB; GPU.ai alone prices H200 NVL, H100 PCIe, H100 NVL, RTX 5090, L40, RTX 4090, A40, L4, RTX 4080, RTX 5080, RTX A5000, RTX 3090, RTX A4000. They are different kinds of provider — DataCrunch (Verda) is a neocloud, GPU.ai a marketplace — which is most of why the prices differ.
Where do these prices come from?
DataCrunch (Verda): Public pricing page, parsed. Per-GPU price is the listed per-GPU rate, or the node price divided by GPU count. Prices near reserved, committed or contract terms are discarded; anything outside a plausible range for the GPU is discarded. GPU.ai: Public pricing page, parsed. Per-GPU price is the listed per-GPU rate, or the node price divided by GPU count. Prices near reserved, committed or contract terms are discarded; anything outside a plausible range for the GPU is discarded. Both are read every six hours; nothing is estimated.