---
title: "Enterprise GPU Cloud — Reserved Fleets, InfiniBand Clusters | PowerGPU"
description: "GPU fleets for teams that outgrow self-serve: reserved H100/H200/B200 capacity, InfiniBand clusters, volume discounts on public prices, 99.9% SLA, named support."
url: https://powergpu.ai/enterprise
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Enterprise

# Enterprise GPU cloud: hyperscaler scale, marketplace prices

Reserved fleets and InfiniBand clusters built from the same public price sheet as a single RTX 4090 — H100 SXM from **$0.928** /hr reserved, with volume tiers past 32 GPUs. No opaque quotes: the sheet is the quote.

### Sheet-based quotes

Every enterprise price is public sheet × published tier discount. Procurement can audit the maths in one spreadsheet cell.

### Capacity guarantees

Reserved fleets are fenced hardware with a named region and topology, contractually held for your term.

### Sub-accounts

Per-team balances, API keys and spend reporting under one master account — cost centres without spreadsheet archaeology.

### Named support

A dedicated engineer, shared incident channel and 15-minute 24/7 response on enterprise reservations.

## Fleet economics at a glance

Reserved rate × count × 730 h — what a standing fleet actually costs per month.

| Fleet | Per GPU-hr (reserved) | Monthly | Typical hyperscaler list |
| --- | --- | --- | --- |
| **32 × H100 SXM** | $0.928 | $21,678 | $106,746+ |
| **64 × H200** | $1.814 | $84,750 | $417,266+ |
| **64 × B200** | $3.526 | $164,735 | $811,059+ |

Hyperscaler column: public list prices for comparable SXM instances, September 3, 2026 — routinely 3–5× our reserved rate. Volume tiers (−5% at 32 GPUs, −10% at 128) apply on top.

## How an engagement runs

1. Ticket with your shape GPU model, count, term, region constraints, interconnect needs. From any account, in the console.
2. Sheet-derived quote Within a business day: rates, topology, delivery date, SLA riders. Nothing in it you cannot recompute.
3. Fleet live in days Standard pods in 1–3 business days, larger topologies under two weeks, with acceptance benchmarks (NCCL, storage, thermals).

Privacy posture, enterprise-grade by default

Crypto settlement, no KYC, no stored IP addresses, single-tenant hardware on reservations and full-disk encryption — the same defaults every account gets, documented on the [security page](https://powergpu.ai/security).

Compliance documentation for datacenter facilities (ISO 27001, SOC 2, Tier III) is available on request per site.

## Enterprise GPU cloud FAQ

**What counts as "enterprise" here?**

Anything past self-serve scale: 16+ GPUs sustained, multi-node clusters, custom regions, bespoke terms or invoicing needs. The pricing input never changes — the public sheet — but structure, capacity guarantees and support move to a named-engineer model.

**Do you do sales calls and custom quotes?**

A quote, yes; a discovery-call gauntlet, no. Open a ticket with your target fleet and term, and a quote built from the public sheet comes back within one business day — typically with volume tiers of −5% at 32 GPUs and −10% at 128 on top of reserved rates.

**Can we pay any other way than crypto?**

Payment remains crypto-only at every scale — USDT (TRC-20/ERC-20), BTC, ETH, XMR, LTC, TRX or SOL. For large commitments we support scheduled instalments and per-entity sub-accounts with separate balances and API keys.

**What about SLAs and support?**

The standard SLA is 99.9% monthly uptime on on-demand and reserved capacity with credit remedies (see /legal/sla). Enterprise reservations add a named engineer, a shared incident channel and a 15-minute response target, 24/7.

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