compare · ai cloud
CoreWeave is an AI-native cloud running large NVIDIA fleets on a Kubernetes-based platform, focused on training-scale customers. GPU.ai takes the other approach: one account that prices 12+ clouds on every launch and passes the raw rate through at zero markup.
at a glance
A fair read of both sides: their genuine strengths, the trade-offs, and what an aggregated market does differently.
Strengths
Trade-offs
The aggregator model
Live per-GPU floor prices across our aggregated fleet, next to CoreWeave's public on-demand list rates where they sell the same model.
| GPU | VRAM | GPU.ai / GPU / hr | CoreWeave list | Stock |
|---|---|---|---|---|
| RTX A4000 | 16 GB | $0.090/hr | Not sold | 26 available |
| V100 | 16 GB | $0.090/hr | Not sold | 2 available |
| RTX 3080 | 10 GB | $0.110/hr | Not sold | 13 available |
| RTX A4500 | 20 GB | $0.130/hr | Not sold | 1 available |
| RTX 3090 | 24 GB | $0.150/hr | Not sold | 34 available |
| RTX 4080 | 16 GB | $0.230/hr | Not sold | 7 available |
| RTX 2000 Ada | 16 GB | $0.240/hr | Not sold | 4 available |
| L4 | 24 GB | $0.270/hr | Not sold | 9 available |
| RTX 5080 | 16 GB | $0.290/hr | Not sold | 13 available |
| RTX 4090 | 24 GB | $0.340/hr | Not sold | 88 available |
| RTX A6000 | 48 GB | $0.398/hr | Not sold | 34 available |
| RTX 5090 | 32 GB | $0.445/hr | Not sold | 115 available |
| A100 40GB | 40 GB | $0.468/hr | Not sold | 25 available |
| A40 | 48 GB | $0.490/hr | Not sold | 8 available |
| RTX 6000 Ada | 48 GB | $0.650/hr | Not sold | 29 available |
| L40 | 48 GB | $0.690/hr | Not sold | 10 available |
| RTX PRO 4500 | 32 GB | $0.720/hr | Not sold | 4 available |
| L40S | 48 GB | $0.790/hr | $2.25/hr | 137 available |
| A100 80GB | 80 GB | $0.970/hr | $2.70/hr | 81 available |
| RTX PRO 6000 | 96 GB | $1.69/hr | $2.50/hr | 89 available |
| H100 PCIe | 80 GB | $1.98/hr | Not sold | 14 available |
| H100 NVL | 94 GB | $2.59/hr | Not sold | 15 available |
| H100 SXM | 80 GB | $3.49/hr | $6.16/hr | 32 available |
| H200 SXM | 141 GB | $4.59/hr | $6.30/hr | 36 available |
| H200 NVL | 141 GB | $5.47/hr | Not sold | 2 available |
| B200 | 192 GB | $6.79/hr | $8.60/hr | 6 available |
| B300 | 288 GB | $7.89/hr | Not sold | 4 available |
market data via Compute Prices
GPU.ai prices are live per-GPU floor rates from our aggregated fleet, normalized per GPU per hour, billed per second, with zero markup on the provider's raw rate. CoreWeave figures are their public on-demand list rates for the closest equivalent SKU (never spot, reserved, or committed-use discounts). We only show models with launchable stock. Last updated 2026-10-01; this page refreshes hourly.
honest verdict
faq
GPU.ai takes a different approach: instead of running one fleet, it prices the whole GPU market on every launch and routes you to the cheapest provider with live stock, at the provider's raw rate with zero markup. If CoreWeave's strengths (very large modern gpu fleets, early access to new nvidia generations) are not the thing you're paying for, an aggregated market usually wins on price and availability.
GPU.ai publishes its live per-GPU floor price for every model it carries, currently from $0.090/GPU/hr at the low end. Prices are normalized per GPU per hour and billed per second, and the comparison table on this page is refreshed hourly from live fleet data.
Launches are standard SSH instances with your keys, so most workflows move without changes: pick a GPU, launch, rsync your data, run. There are no commitments to unwind and no minimum spend. You can trial a single instance for a few cents before moving anything.
Honestly: you are reserving thousands of gpus on multi-year terms, or if your team already operates kubernetes at scale. This page's job is a fair comparison, not a hard sell: the live price table above is the argument that matters.