---
title: "Quotas & limits — defaults and raises | PowerGPU Docs"
description: "Per-account defaults on PowerGPU: instance and GPU caps, top-up throttles, API rate limits, port budgets — and how limits raise automatically with account history."
url: https://powergpu.ai/docs/limits
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Platform 1 min read updated 2026-09-03

# Quotas & limits

Defaults exist to keep the platform healthy against abuse, not to upsell you a tier. Most raise automatically as an account builds history; anything else is one support ticket.

## Account defaults

| Limit | New account | Established* |
| --- | --- | --- |
| Concurrent instances | 8 | 32 |
| GPUs per instance | 8 (hardware max) | 8 |
| Concurrent GPUs, total | 16 | 64 |
| Volumes | 10 · 4 TB total | 50 · 32 TB |
| Open top-ups per hour | 8 | 8 |
| API requests | 120/min | 600/min |
| Support tickets open | 10 | unlimited |

*Established = roughly two weeks of normal usage and settled top-ups; raises apply automatically, no request needed.

## Hardware-shaped limits

- **GPUs per machine** — 1× to 8× depending on the chassis; the offer card is the truth.
- **Ports per machine** — 8–100 mapped ports, shown per offer, filterable (portsMin).
- **Disk per machine** — up to the free NVMe on that host, shown at deploy.

## API rate behaviour

Past the per-minute budget the API answers 429 with a Retry-After header — back off and retry; nothing is queued or dropped silently. Polling advice: instance state changes also land as webhooks, which do not count against the budget.

## Need more, sooner?

Fleet-scale needs (64+ GPUs, multi-node reservations) skip the automatic ladder — open a [ticket](https://cloud.powergpu.ai/app/support) with the shape of the workload, or read the [enterprise page](https://powergpu.ai/enterprise). Capacity plans answer within a business day.

Stuck?

Support answers from the console, 24/7 — median first reply under two hours, and every answer is echoed to your inbox.

[Open a ticket](https://cloud.powergpu.ai/app/support)

Build against it

- [REST API](https://powergpu.ai/api)
- [CLI](https://powergpu.ai/cli)
- [Python SDK](https://powergpu.ai/sdk)
- [Guides](https://powergpu.ai/guides)

---

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