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Pricing

GPU Rental Pricing

Transparent pricing for GPU instances including RTX 4090, RTX 5090, RTX PRO 6000 and more. Use our calculator to estimate monthly costs for your AI workloads.

Compare GPUs

Complete GPU Pricing Chart

Compare GPU rental costs across NVIDIA and AMD models, from the V100 16GB and RTX 4090 up to the A100 80GB, RTX PRO 6000, H200, and AMD MI350X. On-demand and reserved pricing for AI training and inference workloads.

  • V100 SXM2

    NVIDIA
    On‑Demand$0.25
    1 mo$0.23
    3 mo$0.21
    16 GB VRAM400 GB StorageMax 8 GPUs
  • V100 SXM3

    NVIDIA
    On‑Demand$0.28
    1 mo$0.25
    3 mo$0.24
    32 GB VRAM800 GB StorageMax 16 GPUs
  • RTX 4090

    NVIDIA
    On‑Demand$0.39
    1 mo$0.35
    3 mo$0.33
    24 GB VRAM800 GB StorageMax 10 GPUs
  • RTX 5090

    NVIDIA
    On‑Demand$0.60
    1 mo$0.54
    3 mo$0.51
    32 GB VRAM1000 GB StorageMax 8 GPUs
  • L40S

    NVIDIA
    On‑DemandUpon request
    1 mo$0.57
    3 mo$0.54
    48 GB VRAM396 GB StorageMax 8 GPUs
  • A100 SXM4

    NVIDIA
    On‑Demand$1.05
    1 mo$0.95
    3 mo$0.89
    80 GB VRAM800 GB StorageMax 8 GPUs
  • On‑DemandUpon request
    1 mo$1.16
    3 mo$1.10
    96 GB VRAM1500 GB StorageMax 8 GPUs
  • On‑DemandUpon request
    1 mo$1.40
    3 mo$1.32
    96 GB VRAM850 GB StorageMax 8 GPUs
  • H100

    NVIDIA
    On‑DemandUpon request
    1 mo$1.70
    3 mo$1.33
    80 GB VRAM2000 GB StorageMax 8 GPUs
  • H200

    NVIDIA
    On‑DemandUpon request
    1 mo$2.50
    3 mo$2.38
    141 GB VRAM2000 GB StorageMax 8 GPUs
  • On‑Demand$4.00
    1 mo$3.60
    3 mo$3.40
    288 GB VRAM1000 GB StorageMax 8 GPUs

Prices can fluctuate. Availability varies by demand and region.

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GPU Rental Calculator

Calculate GPU rental costs in real-time. Compare on-demand and reserved pricing to optimize your cloud GPU budget.

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Save with Reservation Plans

Choose from flexible reservation options to optimize costs for AI training on NVIDIA GPUs and other deep learning workloads. 1 week, 1 month, and 3 month reservations can be selected directly in the console. For 1-year reservations with an even higher discount, contact us.

Reach Out

Pricing FAQ

Common Questions About Pricing

Per-GPU hourly rates are shown in the pricing table above. Entry-tier consumer GPUs like RTX 4090 sit at the low end and are available on demand; larger models such as L40S, RTX PRO 6000, H100 and H200 are reserved, so their on-demand rate is quoted on request. Rates update from live capacity.
For inference workloads that fit in 24GB of VRAM, RTX 4090 is typically the lowest hourly rate among the GPUs in the table above. For larger models, RTX 5090 and RTX PRO 6000 deliver better cost per token. CloudRift adds new capacity regularly, and older models such as NVIDIA V100 can be a more cost-effective fit for certain workflows. Contact us if your workload may suit a GPU not listed above. See our LLM inference benchmarks for throughput numbers.
Hourly rental is cheaper than buying when GPU utilization stays below roughly 40 to 50 percent of the depreciation window of the hardware. For continuous workloads above that, reserved capacity or owned hardware tends to win on total cost. CloudRift offers both hourly rates and multi-month reservations so you can match the billing model to actual utilization.
CloudRift lists transparent per-GPU per-hour pricing with no minimum spend and no egress charges. Billing is per second of active runtime, similar to RunPod and Lambda. Hyperscaler GPU instances on AWS, GCP, and Azure typically run several times higher per hour at list price and require longer reservation commitments for discounts. For a specific comparison against another provider, contact us with the GPU type and duration you are evaluating.
On-demand is pay-as-you-go billed by the second while the instance is running. Reserved locks a specific GPU type for a fixed duration of 1 week, 1 month, 3 months, or 1 year at a lower hourly rate, paid upfront. Reserved capacity is the right choice when utilization is high and predictable.
Yes. On-demand instances have no minimum duration and bill in per-second increments while the instance is running. You can spin up a GPU for a few minutes of testing and pay only for that runtime.
The hourly price covers compute, the attached local storage shown in the pricing table, networking, and standard support. There are no separate egress, ingress, or API-call charges on CloudRift.
For GPU rentals that aren't available in the console (such as NVIDIA H100 and H200), we may still be able to help. Reach out on Discord or via our contact form with your requirements and we'll work with you to find a solution.
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