--- title: "GPU Cloud Cost Calculator: Hourly & Monthly Rental Cost | PowerGPU" description: "Estimate cloud GPU rental cost: pick any of 80 NVIDIA GPUs, hours, days, storage and bandwidth — hourly, daily and monthly totals at fixed prices ≥30% below market." url: https://powergpu.ai/calculator last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Pricing · cost calculator · prices checked 2026-09-14 # GPU cloud cost calculator: hourly, daily, monthly Pick a GPU and a schedule; the estimate uses the same fixed rates the console bills — every on-demand price is the public marketplace median × 0.70, rounded down. Storage at $0.08/GB/mo and bandwidth at $0.01/GB are the only other lines. Estimated cost $1,037.16 / month - GPU time $1.428 × 1 × 720 h **$1,028.16** - Storage 100 GB × $0.08 **$8.00** - Bandwidth 100 GB × $0.01 **$1.00** Per hour instance **$1.428** Per day GPU only **$34.27** GPU-hours / month **720** Same GPU-hours at the public marketplace median *Market median **$1,469.81*** *PowerGPU **$1,028.16*** You keep **$441.65** (−30%) [Deploy this configuration](https://cloud.powergpu.ai/?gpu=h100-sxm) [Full price sheet](https://powergpu.ai/pricing) Billed per second in practice — this estimate is an upper bound. Prices are fixed at deploy; no setup fees, no minimums. ## Four real workloads, costed Each card is a preset at today's prices. Load one into the calculator and adjust it to your run. ### Fine-tune an 8B model with QLoRA 1× RTX 4090 On-demand 2-hour run 50 GB NVMe **$0.79** for the run GPU time at market median: ~~$0.94~~ (−30%) ### A working week of experiments 1× RTX 4090 On-demand 8 h/day × 5 days 50 GB NVMe 20 GB transfer **$13.95** for the week GPU time at market median: ~~$18.70~~ (−30%) ### A 72-hour training run 8× H100 SXM Interruptible −50% 72 hours nonstop 500 GB NVMe **$415** for the run GPU time at market median: ~~$1,176~~ (−65%) ### A production inference endpoint 1× L40S Reserved −35% 24/7 · 30 days 200 GB NVMe 2 TB transfer **$276** per month GPU time at market median: ~~$530~~ (−54%) ## How the estimate is built Three lines, one rule. The worked example follows whatever you set in the calculator. Worked example — 1× H100 SXM, on-demand, 24 h × 30 d The rule behind every GPU price: [market median × 0.70, rounded down](https://powergpu.ai/pricing). This configuration: market median $2.04 × 0.70 → $1.428 - GPU timePrice × GPUs × hours. An 8× machine costs exactly 8× one GPU — no multi-GPU premium, no interconnect surcharge. - StorageBills on allocated size while the disk exists — including while the instance is stopped. Destroy the disk and the line stops. - BandwidthOne flat rate in and out, every region. No egress tiers, no inter-zone fees, no surprise at the end of the month. - Billing modesInterruptible halves the GPU line for jobs that checkpoint. Reserved locks −35% for 3+ months. On-demand is guaranteed until you stop it. ## Monthly cost of popular GPUs (730 hours) What one GPU costs if it never stops — per-second billing means any schedule costs proportionally less. | GPU | VRAM | On-demand / mo | Interruptible / mo | Reserved / mo | Market median / mo | | --- | --- | --- | --- | --- | --- | | [B200](https://powergpu.ai/gpu/b200) | 192 GB | $3,960 | $1,980 | $2,574 | $5,658 | | [H200](https://powergpu.ai/gpu/h200) | 141 GB | $2,037 | $1,018 | $1,324 | $2,911 | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | 80 GB | $1,042 | $521 | $677 | $1,490 | | [H100 PCIE](https://powergpu.ai/gpu/h100-pcie) | 80 GB | $1,363 | $681 | $885 | $1,948 | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | 80 GB | $409 | $204 | $266 | $585 | | [L40S](https://powergpu.ai/gpu/l40s) | 48 GB | $375 | $188 | $244 | $537 | | [RTX PRO 6000 WS](https://powergpu.ai/gpu/rtx-pro-6000-ws) | 96 GB | $759 | $380 | $493 | $1,085 | | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) | 48 GB | $341 | $170 | $221 | $488 | | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | 32 GB | $320 | $160 | $208 | $459 | | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | 24 GB | $239 | $119 | $155 | $341 | | [RTX 3090](https://powergpu.ai/gpu/rtx-3090) | 24 GB | $79 | $39 | $51 | $113 | | [RTX A4000](https://powergpu.ai/gpu/rtx-a4000) | 16 GB | $52 | $26 | $34 | $75 | All 80 models with hourly rates: [the price sheet](https://powergpu.ai/pricing). Market medians: public marketplace pricing feed, snapshot 2026-09-14. ## GPU cost questions Billing mechanics in depth: [billing docs](https://powergpu.ai/docs/billing). **How is the monthly GPU cost calculated?** GPU price per hour × number of GPUs × hours per day × days per month, plus storage (allocated GB × $0.08/GB/month, prorated) and bandwidth (GB transferred × $0.01/GB). Billing is actually per second, so the estimate is an upper bound for any schedule you enter. **What does an H100 cost per month?** Running non-stop (730 h), an H100 SXM costs $1,042 on-demand, $521 interruptible or $677 reserved on our sheet — versus about $1,490 at the public marketplace median. **What does an RTX 4090 cost per hour and per month?** $0.327/hr on-demand ($239/month at 730 h) or $0.163/hr interruptible. Eight hours a day for 20 days is $52.32 on-demand. **Are there hidden fees the calculator does not show?** No. GPU time, storage and bandwidth are the entire fee schedule — no setup fee, no minimum, no per-request charges, no support tiers, no multi-GPU premium. Public IPs and port mappings are included. **Can I share or bookmark an estimate?** Yes. Every setting is written to the page address as you change it, so the URL in your browser — or the “Copy estimate link” button — reproduces the exact configuration for a colleague. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/calculator · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt