Company

About FullGPU

We rent whole, dedicated GPUs on monthly terms, with every price and spec published and our commitments in writing.

Highlights

  • Whole GPUs only

    Every GPU is a physical card assigned to one customer. No vGPU slicing, no MIG partitions, no time-sharing.

  • One flat monthly price

    No hourly meter, no setup fee and no egress fees within the included bandwidth.

  • Delivery date in writing

    We confirm it before you pay. If we miss it, you can cancel for a full refund.

  • 99.9% availability SLA

    Power, network and hardware are covered, with service credits if we fall short.

  • Card or crypto

    The same US dollar price and the same invoice, whichever way you pay.

  • Engineers 24/7

    Support from engineers around the clock, through our contact form.

FullGPU rents dedicated GPU servers by the month. Each GPU you rent is a whole physical card that belongs to you alone for as long as you pay for it, and the price is one flat monthly figure you know before you order. This page covers what you should know about FullGPU before you send a request: what we offer, why we chose monthly terms and whole GPUs, the principles we hold ourselves to, and how an order works.

About FullGPU: what we do and who it is for

We rent two kinds of servers. Single-GPU servers are a dedicated virtual machine with the full GPU passed through, from a GeForce RTX 5090 with 32 GB of memory to an NVIDIA B300 with 288 GB. 8-GPU servers are bare-metal machines: NVIDIA HGX B300, B200, H200 and H100, AMD Instinct MI355X and RTX PRO 6000 Blackwell. NVIDIA GB300 NVL72 racks are available on request, and reservations are open for Vera Rubin NVL72. Every model is described on our GPU overview.

We build for teams whose GPUs stay busy for weeks or months: ML engineers training and fine-tuning models, AI startups and inference teams serving them around the clock, research labs working to fixed budgets, VFX studios rendering through crunch periods, and Web3 teams running zero-knowledge provers. They share a need for the same hardware every day, a bill they can plan, and root access to a machine they control.

Why we rent by the month

Hourly billing suits short, bursty jobs. Much serious GPU work is not like that. A training run, a fine-tuning campaign or a model served to users keeps a GPU busy all month, and a meter running on every hour of it adds uncertainty without adding anything useful. Monthly terms give you three things instead.

  • Predictable cost. One price per server per month, billed in advance and fixed for each paid month. Finance gets a number, not an estimate. A single NVIDIA H100 is $2,190 a month, about $3.00 per GPU-hour if it runs around the clock.
  • An environment that stays put. Datasets, checkpoints, containers and installed packages stay on local NVMe between jobs. Nothing is torn down when a session ends, and there is no queue to rejoin.
  • No meter. Because the price is flat, an idle server costs nothing extra. You can pause to debug or leave a job queued overnight without watching the clock.

Monthly is not always the right answer. If you need a GPU for a few hours a week, hourly billing elsewhere will usually cost less, and we would rather say so up front. Our monthly vs hourly pricing comparison shows where the break-even point sits.

Why whole GPUs, never slices

Shared GPU platforms divide one card between users with virtual GPU slices, MIG partitions or time-sharing. We do none of that. Each GPU we rent is assigned to one customer: our 8-GPU servers are bare metal, and our single-GPU plans pass the entire card through to a dedicated VM, so all of its memory and compute are yours.

This matters in practice. Memory is usually the hard limit in AI work, and a whole H200 gives you all 141 GB of HBM3e, not a fraction of it. Performance stays consistent because no other workload competes for the same GPU's compute or memory bandwidth, which also makes a slow run easier to diagnose. Our article on dedicated vs shared GPUs covers the trade-offs in more detail.

Our principles

Everything published

Every configuration we offer is listed on our GPU server pricing page with its GPU, CPU, RAM, NVMe storage, network cards, price and stock status: in stock, limited stock, on request or reservations open. You should not need a sales call to learn what a server costs or whether we have one.

Commitments in writing

Our promises live in our terms, not only in our marketing. We commit to 99.9% monthly availability for power, network and hardware, with service credits of up to 100% of a server's monthly fee, as set out in our service level agreement. We confirm your delivery date in writing before you pay, and if we miss it, you can cancel for a full refund. There is no setup fee, and no egress fees within the included bandwidth of 20 TB per month on single-GPU plans and 50 TB on 8-GPU servers, under fair use.

One price, any payment method

Prices are set in US dollars. Whether you pay by Visa, Mastercard, American Express or in crypto, the price and the invoice are the same. And however you pay, support comes from engineers, 24 hours a day, every day of the year.

How we work

Ordering is deliberately simple:

  1. You request a server on our website, with the configuration and quantity you need.
  2. We confirm in writing the configuration, the monthly price, the server's location and the delivery date.
  3. We send a payment link, and you pay the first month by card or crypto.
  4. We provision the server and email you the credentials for root access over SSH.

From then on, the server renews monthly and we email you before each renewal. You can cancel any month with no fee, and the server keeps running until the end of the paid month. When you need help, you contact our engineers through the website form, at any hour.

We keep verification proportionate. Most orders need only an email address and a payment. We ask for more only for large orders, for fraud or sanctions screening, or when the law requires it, and we always tell you what we need and why. Our verification policy has the details.

Talk to a GPU engineer

Sizing help, volume pricing and custom builds. We reply with availability and a delivery date.

Contact us See GPUs & pricing

FAQ

Questions, answered.

The short version. Anything else, our engineers reply 24/7.

Ask an engineer
What does FullGPU do?

We rent dedicated GPU servers on monthly terms, from a single GeForce RTX 5090 to 8-GPU NVIDIA HGX B300 servers, with rack-scale systems on request. You pay by card or crypto and get root access over SSH.

Who is FullGPU for?

Teams that keep GPUs busy for weeks or months: ML engineers, AI startups, inference teams, research labs, VFX studios and Web3 teams.

Why monthly billing instead of hourly?

A flat monthly price is predictable, and your environment stays on the server between jobs. If you only need a GPU for a few hours a week, hourly billing elsewhere will usually cost less.

Are the GPUs shared with other customers?

No. Each GPU is a whole physical card assigned to one customer only. 8-GPU servers are bare metal, and single-GPU plans are a dedicated VM with the full GPU passed through.

How do I contact FullGPU?

Through the contact form on our website. Our engineers provide support 24/7.

Talk to an engineer

Get your GPU server this month.

Tell us what you need. A GPU engineer replies with availability, a confirmed delivery date and a payment link.

  • Delivery date confirmed before you pay
  • Cancel any month
  • Card or crypto, same price