--- title: "Cloud GPU Rental at Fixed Prices, 30% Below Market | PowerGPU" description: "Rent cloud GPUs at fixed prices ≥30% below market: H100 SXM from $1.428/hr, RTX 4090 from $0.327/hr. 80 NVIDIA GPUs, per-second billing, crypto, deploy in 30 s." url: https://powergpu.ai/ last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- GPU cloud · fixed prices · per-second billing # Rent cloud GPUs 30% below market price. 80 GPU models from $0.024/hr — H100 SXM at **$1.428/hr** while the marketplace median sits at ~~$2.04~~. Fixed prices verified weekly, no auctions, deploy in 30 seconds. Price check market snapshot 2026-09-14 | GPU | Market | PowerGPU | | --- | --- | --- | | [B200](https://powergpu.ai/gpu/b200) | $7.75 | $5.425 (−30%) | | [H200](https://powergpu.ai/gpu/h200) | $3.99 | $2.791 (−30%) | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | $2.04 | $1.428 (−30%) | | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | $0.63 | $0.439 (−30%) | | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | $0.47 | $0.327 (−30%) | Median on-demand $/GPU-hr on the public marketplace vs our fixed price. **80** GPU models, RTX 3060 to B300 **4,800+** GPUs ready to deploy now **32** regions worldwide **≥30%** below market median, always **99.9%** uptime SLA on-demand ## Cloud GPU prices: fixed, at least 30% under the market median Marketplace medians move every hour; our price is fixed and always at least 30% under them. Same card, same hour — smaller invoice. | GPU | VRAM | Market median (on-demand) | PowerGPU (on-demand, per GPU-hr) | Est. / month | Availability | | | --- | --- | --- | --- | --- | --- | --- | | [B200](https://powergpu.ai/gpu/b200) (flagship) | 192 GB | $7.75 | $5.425 (−30%) | $3,960 | 32× | [Deploy](https://cloud.powergpu.ai/?gpu=b200) | | [H200](https://powergpu.ai/gpu/h200) (flagship) | 141 GB | $3.99 | $2.791 (−30%) | $2,037 | 50× | [Deploy](https://cloud.powergpu.ai/?gpu=h200) | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) (flagship) | 80 GB | $2.04 | $1.428 (−30%) | $1,042 | 54× | [Deploy](https://cloud.powergpu.ai/?gpu=h100-sxm) | | [H100 PCIE](https://powergpu.ai/gpu/h100-pcie) (flagship) | 80 GB | $2.67 | $1.867 (−30%) | $1,363 | 73× | [Deploy](https://cloud.powergpu.ai/?gpu=h100-pcie) | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | 80 GB | $0.80 | $0.560 (−30%) | $409 | 95× | [Deploy](https://cloud.powergpu.ai/?gpu=a100-sxm4) | | [L40S](https://powergpu.ai/gpu/l40s) | 48 GB | $0.74 | $0.514 (−30%) | $375 | 107× | [Deploy](https://cloud.powergpu.ai/?gpu=l40s) | | [RTX PRO 6000 WS](https://powergpu.ai/gpu/rtx-pro-6000-ws) | 96 GB | $1.49 | $1.040 (−30%) | $759 | 74× | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-pro-6000-ws) | | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) | 48 GB | $0.67 | $0.467 (−30%) | $341 | 34× | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-6000ada) | | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | 32 GB | $0.63 | $0.439 (−30%) | $320 | 922× | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-5090) | | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | 24 GB | $0.47 | $0.327 (−30%) | $239 | 461× | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-4090) | Interruptible = 50% of on-demand, pausable under capacity pressure · Reserved = −35% with a 3-month commitment · [See all 80 GPUs](https://powergpu.ai/gpus) · [Compare GPUs side by side](https://powergpu.ai/compare) · [Cost calculator](https://powergpu.ai/calculator) ## Why rent GPUs here: marketplace prices, cloud-grade certainty We buy capacity where the marketplaces do — then sell it like a cloud should. ### Fixed ≥30% below market Every model priced from the public marketplace median, minus 30%, rounded down. Re-checked weekly, published openly. ### No bidding, no evictions On-demand means yours until you stop it. Interruptible is a flat −50% — not an auction you babysit at 2am. ### Verified datacenters only Tier-III facilities, redundant power and network, tested hardware — not a gaming rig in a garage. ### Per-second billing Start to stop, to the second. Storage at $0.08/GB/mo, bandwidth $0.01/GB flat. No setup fees, no minimums. ## Every way to run a GPU: on-demand, interruptible, reserved, serverless From a single interruptible card to a reserved InfiniBand cluster — same console, same API, same price sheet. - [On-demand GPUs Fixed price, guaranteed resources, per-second billing](https://powergpu.ai/products/on-demand) - [Interruptible Half the on-demand price for fault-tolerant jobs](https://powergpu.ai/products/interruptible) - [Reserved Commit 3+ months, save another 35%](https://powergpu.ai/products/reserved) - [Serverless Autoscaling endpoints for vLLM, ComfyUI and your images](https://powergpu.ai/products/serverless) - [Clusters Multi-node InfiniBand/NVLink for distributed training](https://powergpu.ai/products/clusters) - [Virtual machines Full VMs with root, custom kernels and GUI images](https://powergpu.ai/products/vms) - [Volumes NVMe network storage at $0.08/GB/mo](https://powergpu.ai/products/volumes) - [Templates PyTorch, CUDA, ComfyUI, vLLM, Jupyter — ready in one click](https://powergpu.ai/templates) ## How to rent a GPU in 30 seconds Pick a card, launch a template, stop when you're done. The console on the right is a live walkthrough — at our real prices. ## Best GPU for each workload, priced for the run Pick by workload — we pre-matched the best value card for each. - [LLM training 80 GB HBM3, NVLink, multi-node Best value: **H100 SXM** $1.428/hr](https://powergpu.ai/gpu/h100-sxm) - [LLM inference Best $/token for 7B–70B models Best value: **RTX 5090** $0.439/hr](https://powergpu.ai/gpu/rtx-5090) - [Fine-tuning LoRA/QLoRA sweet spot Best value: **A100 SXM4** $0.560/hr](https://powergpu.ai/gpu/a100-sxm4) - [Image & video gen SDXL, Flux, ComfyUI pipelines Best value: **RTX 4090** $0.327/hr](https://powergpu.ai/gpu/rtx-4090) - [3D rendering Blender, Octane, Redshift Best value: **RTX PRO 6000 WS** $1.040/hr](https://powergpu.ai/gpu/rtx-pro-6000-ws) - [Scientific compute FP64, huge memory bandwidth Best value: **H200** $2.791/hr](https://powergpu.ai/gpu/h200) ## PowerGPU vs GPU marketplaces vs hyperscalers PowerGPU against GPU marketplaces and the big clouds, line by line. | | PowerGPU | GPU marketplaces | Hyperscalers | | --- | --- | --- | --- | | H100 SXM, per GPU-hour | $1.428 fixed | US$2.04 median, varies by host | $4–$7 | | Pricing model | Fixed, ≥30% below market median | Auction — changes hourly | Fixed, list price | | Price floor guarantee | Re-checked weekly, published | None | None | | Billing | Per-second | Per-second | Per-second to per-hour | | Interruptible discount | 50% off, flat | Bidding — you manage bids | Spot — can spike | | Hosts | Verified datacenters only | Anyone — reliability varies | Own datacenters | | Egress / bandwidth | $0.01/GB flat | Set per host, up to $0.02+/GB | $0.05–$0.12/GB | | Storage | $0.08/GB/mo NVMe | Set per host, varies | $0.08–$0.17/GB/mo | | Payment | Crypto — USDT, BTC, XMR, SOL… | Card, some accept crypto | Card + invoicing, KYC | | Setup fee / minimums | None | None | Commit contracts common | | Deploy time | Under 30 seconds | Under a minute | Minutes | Market figures: public marketplace pricing feed, snapshot 2026-09-14; hyperscaler ranges: public list prices, September 3, 2026. ## Teams that switched, and stayed ## Cloud GPU rental FAQ Everything else lives in the [docs](https://powergpu.ai/docs) — or ask a human from the [console support desk](https://cloud.powergpu.ai/app/support), answered 24/7. **How can prices stay 30% below the market?** We track the public marketplace median for every GPU model and set our on-demand price at least 30% under it, rounding down. Prices are re-checked against the market weekly (last check: September 3, 2026) and published on the pricing page — no auctions, no surprises. **What is the difference between on-demand, interruptible and reserved?** On-demand gives you guaranteed resources at the listed fixed price. Interruptible costs 50% of on-demand but can be paused when capacity is needed — ideal for checkpointed training or batch jobs. Reserved takes another 35% off on-demand for a 3-month commitment. **How is billing calculated?** Per second, from the moment the instance starts to the moment you stop it. Storage is billed per second too ($0.08/GB/mo, also while the instance is stopped), and bandwidth is a flat $0.01/GB in and out. No minimums, no rounding up, no setup fees. **How fast can I get a GPU running?** Under 30 seconds for container instances launched from a template (PyTorch, vLLM, ComfyUI, CUDA…). Full virtual machines take a couple of minutes. Everything is available from the console, CLI, Python SDK or REST API. **Can I run multi-GPU or multi-node workloads?** Yes. Instances go up to 8× GPUs with NVLink where the hardware supports it, and clusters connect nodes over InfiniBand for distributed training. The per-GPU price is the same from 1× to 8× — no multi-GPU premium. **How do I pay?** Crypto only: USDT (TRC-20 or ERC-20), Bitcoin, Monero, Litecoin, Ethereum, TRON and Solana. You top up a credit balance and usage draws it down per second — no card, no bank account. Deposits are credited after network confirmation. --- *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/ · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt