HELPER VPS

GPU server rental: NVIDIA L4 and RTX PRO 6000

GPU cloud servers you compare by the hour and use by the month

  • NVIDIA L4 and RTX PRO 6000
  • NVMe disks and dedicated IPv4
  • For AI inference and rendering

A GPU cloud server is a server with graphics processing units (GPUs) rented from a data center to handle parallel computing such as AI inference, model fine-tuning, video processing and rendering. HELPER VPS GPU cloud server rental starts at $0.3304 per hour for one NVIDIA L4, with actual payment by monthly invoice.

  • NVIDIA L4

    24GB GPU memory

    033$/ hr

    About $241 per month

    • 1 L4, 24 GB
    • 8 vCPU
    • 32 GB RAM
    • 250 GB NVMe
    • 5 TB transfer per month
    Buy now

  • 2 NVIDIA L4

    48GB GPU memory

    066$/ hr

    About $482 per month

    • 2 L4, 48 GB
    • 16 vCPU
    • 64 GB RAM
    • 500 GB NVMe
    • 8 TB transfer per month
    Buy now

  • RTX PRO 6000

    96GB GPU memory

    67144$/ mo

    Billed monthly

    • 1 RTX PRO 6000, 96 GB
    • 18 vCPU
    • 96 GB RAM
    • 900 GB NVMe
    • 10 TB transfer per month
    Buy now

For work that uses CPU cores for a long time without a GPU Dedicated CPU VPS

What is a GPU cloud server used for?

GPUs excel at splitting the same calculation into thousands of pieces and processing them at once. That is why they make a big difference over CPU servers for matrix-heavy AI work and pixel-level video work. Here are four typical reasons to rent a GPU server.

L4 or RTX PRO 6000: which GPU should I choose?

All three use the same billing and the same management screen. The biggest difference is GPU memory size. First check whether the models and data you will load fit in GPU memory, then consider how many requests you will handle at once, and choosing becomes easy.

NVIDIA L4

A single low-power data center GPU

Best for

  • Inference for small language and image models
  • Video conversion and stream processing
  • Personal projects trying a GPU server for the first time
  • When you want to match costs with a low hourly price

2 NVIDIA L4

A setup using two GPUs together in one server

Best for

  • Serving two models at once, one on each
  • Training experiments split across two GPUs
  • Securing throughput for busy inference APIs
  • Work that also needs twice the CPU and memory

RTX PRO 6000

One large GPU with 96GB memory

Best for

  • Large models that use lots of GPU memory
  • Fine-tuning with large batches
  • High-resolution 3D rendering and simulation
  • Teams that want to finish big jobs on a single card

For GPUs, is hourly or monthly better?

When looking into GPU cloud server rental, most comparisons are by hourly price. For experiments you run only a few hours a day, hourly pricing is handy; for servers kept on 24 hours like a service, the monthly cost matters more. Even for the same GPU, the numbers to compare differ by how you use it. So it is a good idea to decide first how many hours a day you will keep it on.

For easy comparison, HELPER VPS shows L4 servers at an hourly price, with actual billing handled monthly. The hourly price times about 730 hours a month is the monthly price below each card, and RTX PRO 6000 is shown directly at its monthly price. Seeing hourly and monthly prices together makes comparison easy either way.

Monthly billing has a fixed amount, making budgeting easy. For always-on services such as inference APIs or bots, or training that runs for days, there is no need to count hours, and the same amount is paid each month to keep your server running. Even long training runs can go from start to finish without interruption.

How is a GPU server different from a regular VPS?

A regular VPS splits vCPU, memory and disk, and the CPU handles all computation. A GPU server has whole GPUs attached as well, so massively repeated calculations such as matrix multiplication are handed to the GPU while the CPU handles data preparation and request processing. With the two devices splitting the work, the whole job finishes faster.

GPUs have their own separate memory. Model weights and intermediate values are loaded into this GPU memory, so GPU memory size, rather than server memory, often sets the scale of the work. L4 has 24GB per card and RTX PRO 6000 has 96GB. The dual L4 server uses two 24GB GPUs together, so you can split a model across them or run work divided in two.

Websites, databases and regular bots run fine without a GPU, so a cloud VPS fits them better. Add a GPU server when you run AI models yourself or process video in volume, and keep the rest of your services on affordable VPS to keep total costs low.

How much does GPU server rental cost?

A server with one NVIDIA L4 is $0.3304 per hour, about $241.19 per month. Two L4s are $0.6608 per hour, and RTX PRO 6000 is $671.44 per month, with vCPU, memory, NVMe disk, transfer and IP addresses all included in the price.

HELPER VPS in numbers

Choose from 40 regions, 12 operating systems and 10 one-click apps in one account, and pay right away. The numbers below are based on what is on sale now.

AI tools ready to use on GPU servers

Start working the way you know with Docker, Python, PyTorch, Ollama and Jupyter on Ubuntu 24.04 and CUDA.

  • Ubuntu 24.04 + CUDA
  • Docker
  • Python
  • PyTorch
  • Ollama
  • Jupyter

Why choose HELPER VPS GPU servers

Where are GPU servers available?

HELPER VPS has servers in 40 cities across the Americas, Europe, the Middle East, Africa and Asia Pacific. The regions you can choose are shown when you order a GPU server; pick one close to your users and data for faster responses.

  • Germany
  • Netherlands
  • United Kingdom
  • France
  • 7 cities in United States
  • Canada
  • Brazil
  • Singapore
  • 2 cities in Japan
  • 2 cities in India
  • 2 cities in Australia
  • Mexico
  • Spain
  • Sweden
  • Poland
  • South Africa
  • South Korea
  • Chile
  • Colombia
  • Italy
  • Switzerland
  • Finland
  • Türkiye
  • United Arab Emirates
  • Israel
  • Saudi Arabia
  • Nigeria
  • Hong Kong
  • Taiwan
  • Indonesia
  • Thailand

GPU server FAQ

Answers on GPU cloud server rental pricing, payment and choosing specs

Are GPU servers billed by the hour?

GPU servers are billed monthly. The L4 server costs $241.19 per month, paid when you create the server and renewed at the same amount each month. The hourly $0.3304 is shown for easy comparison with other services.

How much does a GPU server cost per month?

A server with one NVIDIA L4 is about $241.19 per month, two L4s about $482.38, and the RTX PRO 6000 server $671.44. The price includes the GPU and vCPU, memory, NVMe disk, monthly transfer and dedicated IPv4 and IPv6, with no spec fees added separately.

How do 2 L4s and the RTX PRO 6000 differ?

2 L4s is a setup using two 24GB GPUs in one server, while the RTX PRO 6000 is a single GPU with 96GB memory. If you serve two models separately or split work across two cards, 2 L4s fits; if you need to load a large model whole into one GPU's memory, the RTX PRO 6000 fits.

How do I pay to rent a GPU server?

When ordering a GPU server, choose a payment method and pay the monthly fee. The server is created once the first month is paid, and you can renew it by paying the same amount on each renewal date. Refunds are issued to your account credit.

What happens if I don't renew my GPU server payment?

If you don't pay by the renewal date, the server is suspended. You can renew it within 3 days to restart it. After 3 days, the server and its disk data are deleted, so back up training results and model files in advance. You can check your next renewal date in the control panel.

Do I need to install CUDA and PyTorch myself?

Our guidance is based on an environment using AI tools such as Docker, Python, PyTorch, Ollama and Jupyter on Ubuntu 24.04 and CUDA. With root access, you can install additional library versions you want, or pull and run Docker images you have already built as they are.

Is the GPU shared with others?

The number of GPUs on the card is attached to your server as is, and all of the GPU memory goes to your work. On a 2 L4 server, both cards are your server's GPUs, and you decide which work goes to which GPU. The CPU, memory and NVMe disk in the server are also assigned to your server as listed on the card, never mixed with others' work.

Why does GPU memory size matter?

Model weights and intermediate values are loaded into GPU memory, so GPU memory size sets the scale of the work you can handle. Even for the same model, the memory needed varies with precision, batch size and concurrent requests, so calculate what you need with your own settings and then choose from 24GB, 48GB and 96GB.

What if I run out of storage?

Each GPU server includes a 250GB, 500GB or 900GB NVMe disk, so model files and working data can live on the server. Keep long-term datasets and results separately in object storage and the GPU server disk can be used only for files you are working with, making management easy. If you want more room, choose a higher configuration with a larger disk.

How do I order a GPU server?

Click the Buy button, create an account, choose the GPU server type and region, select a payment method and order. For questions about choosing specs or your environment, ask right away on the support page after your first payment.

GPU server guides

Guides worth following right after you get your GPU server

Prices shown are in US dollars, and hourly prices are for comparison. Actual payment is handled monthly, and you can renew the server by paying the same amount on each renewal date.

Minimum term: 1 month | Cancel: delete anytime from the control panel | If not renewed: suspended, then deleted 3 days later | Remaining time on deleted servers is not refunded. Refunds are issued to your account credit.