---
title: "About PowerGPU — Fixed-Price GPU Cloud, 30% Below Market"
description: "PowerGPU exists because GPU pricing became a casino. We buy verified datacenter capacity and resell it at one public rule: market median −30%, re-checked weekly."
url: https://powergpu.ai/about
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

About PowerGPU

# About PowerGPU: GPU pricing became a casino.
We sell the boring version.

Auctions that re-price hourly, spot instances that vanish mid-epoch, "contact sales" walls in front of a price tag. Compute is infrastructure — it should be priced like electricity, not like concert tickets.

## The model, in one paragraph

We commit to capacity in bulk — whole racks, long terms — inside established Tier-III datacenters, and resell it by the second at a mechanical rule: **the public marketplace median for each GPU, × 0.70, rounded down, re-checked weekly.** Wholesale buying is the margin; the rule is the product. No auctions to win, no quotes to negotiate, no free tier subsidised by everyone else's bill.

The rule is falsifiable on purpose. The median source is public, the snapshot date (2026-09-14) is printed on every page, and the [API](https://powergpu.ai/api) serves the whole sheet as JSON — if we ever drift above median −30%, anyone can prove it in one curl.

The platform today

- **80 GPU models** — RTX 3060 to B300
- **4,800+ GPUs** deployable right now
- **32 regions** on five continents
- **H100 SXM** at $1.428/hr vs ~~$2.04~~ median
- **99.9% SLA**, billed per second

## What we believe about selling compute

### Prices are promises

A price that changes hourly is not a price, it is a bet. Ours is fixed at deploy and published for everyone — the same number for a student and a fleet buyer.

### Verified beats crowdsourced

Marketplace economics with garage-host reliability is a bad trade. Every machine we sell lives in a vetted datacenter with redundant power, cooling and network.

### Privacy is the default

Crypto settlement, no KYC, no stored IPs, no analytics trackers. We keep what runs the service — an email, a hash, a ledger — and nothing else.

### Infrastructure, not theatre

No sales calls, no "book a demo", no gamified credits. A price sheet, an API, a console that deploys in 30 seconds. The product is the product.

## Where the machines live

We do not run a marketplace and we do not own buildings. We lease dedicated rows in existing Tier-III facilities — the same buildings the big clouds' partners use — and run our own hardware, network and provisioning stack inside them.

- Facilities hold ISO 27001 / SOC 2 attestations and Tier-III (or equivalent) design certification.
- Power-cheap regions get the flagship density — that is why the fleet skews Nordic, central-US and APAC hubs.
- Hardware is burned in for 72 h and benchmarked before it ever appears as an offer; reliability scores on offer cards come from that telemetry.

Operating capacity to sell us? Datacenters with spare GPU rows can open a [ticket](https://cloud.powergpu.ai/app/support) — we buy in rack units, not in gaming rigs.

## Numbers we hold ourselves to

- **Price floor**: ≥30% under market median, every model, verified weekly
- **Deploy time**: < 60 s for cached templates (typically ~30 s)
- **Uptime**: 99.9% monthly on on-demand/reserved — [credits if we miss](https://powergpu.ai/legal/sla)
- **Support first answer**: < 2 h median, 24/7, humans
- **Data retention**: Destroyed instance = erased disk; [the privacy policy fits on one screen](https://powergpu.ai/legal/privacy)

Live health of all of it: [status page](https://powergpu.ai/status), no login required.

---

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