---
title: "On-Demand Cloud GPUs — Fixed Price, Guaranteed Capacity | PowerGPU"
description: "Guaranteed GPU instances at fixed prices ≥30% below market median: H100 at $1.428/hr, RTX 4090 at $0.327/hr. Per-second billing, deploy in 30s, stop anytime."
url: https://powergpu.ai/products/on-demand
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Products · on-demand

# On-demand cloud GPUs.
Fixed price, guaranteed resources

The default way to rent a GPU: deploy in ~30 seconds, keep it as long as you want, pay per second at a price that was fixed ≥30% under the market median before you arrived. No auctions to win, no evictions to survive.

### Guaranteed capacity

Once running, the instance is yours until you stop it. On-demand workloads are never preempted — that is what interruptible is for, at half price.

### Price fixed at deploy

Weekly market re-checks only change prices for new deploys. A training run started today finishes at today's rate.

### Per-second, no minimums

A 90-second experiment costs 90 seconds. No hourly rounding, no daily minimum, no idle fees when stopped (storage only).

### 1× to 8× per machine

Scale within a chassis at the same per-GPU price — NVLink on SXM hardware, no multi-GPU premium anywhere.

## Today's on-demand rates, spot-checked

Full sheet on the [pricing page](https://powergpu.ai/pricing) — here is the shape of it.

| GPU | VRAM | Market median | On-demand | Est. / month |  |
| --- | --- | --- | --- | --- | --- |
| [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | 80 GB | $2.04 | $1.428 (−30%) | $1,042 | [Deploy](https://cloud.powergpu.ai/?gpu=h100-sxm) |
| [H200](https://powergpu.ai/gpu/h200) | 141 GB | $3.99 | $2.791 (−30%) | $2,037 | [Deploy](https://cloud.powergpu.ai/?gpu=h200) |
| [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | 80 GB | $0.80 | $0.560 (−30%) | $409 | [Deploy](https://cloud.powergpu.ai/?gpu=a100-sxm4) |
| [L40S](https://powergpu.ai/gpu/l40s) | 48 GB | $0.74 | $0.514 (−30%) | $375 | [Deploy](https://cloud.powergpu.ai/?gpu=l40s) |
| [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | 32 GB | $0.63 | $0.439 (−30%) | $320 | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-5090) |
| [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | 24 GB | $0.47 | $0.327 (−30%) | $239 | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-4090) |

## Built for stateful, interactive work

On-demand is the right mode when losing the machine mid-job costs more than the discount you would get on interruptible:

- **Serving & APIs** — vLLM endpoints, ComfyUI backends, anything with users on it.
- **Interactive sessions** — Jupyter, SSH development, dataset exploration.
- **Un-checkpointed jobs** — long renders, one-shot ETL, anything you cannot resume.
- **Deadline work** — when "it re-queued overnight" is not an acceptable answer.

Fault-tolerant batch jobs should look at [interruptible (−50%)](https://powergpu.ai/products/interruptible); permanent workloads at [reserved (−35%)](https://powergpu.ai/products/reserved).

*deploy — on-demand*

```
$ powergpu launch --gpu h100-sxm --template vllm \
    --env MODEL=meta-llama/Llama-3.1-8B-Instruct
✓ capacity reserved on m-1d29c04a (eu-central-1)
✓ instance i-52ab77c1 running (24.1s)
# endpoint: https://i-52ab77c1.powergpu.ai:8000/v1
# billing: $1.428/hr · per second · stop anytime
```

## On-demand GPUs: FAQ

More detail in the [instance lifecycle docs](https://powergpu.ai/docs/instances).

**What does "on-demand" guarantee exactly?**

The GPU is yours from start to stop: no preemption, no eviction, no bidding. The price you deploy at is contractually your price for the life of the instance, and capacity is reserved to your account the moment the deploy succeeds.

**How fast is a deploy really?**

Container templates cold-start in about 30 seconds — image pull is the variable (popular templates are pre-cached on hosts). Full VMs take 2–4 minutes. You can watch the state machine live in the console.

**Can I stop an instance and keep my data?**

Yes. Stop ends GPU billing that second; the disk stays, billed at $0.08/GB/mo, and the instance restarts on the same data. Destroy ends everything, including storage billing.

**Is on-demand available on every GPU model?**

All 80 models in the catalogue, from flagship B200s to GTX-class cards — same rules, same per-second billing, 1× to 8× per machine.

---

*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/products/on-demand · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt