96 GB
NVIDIA RTX PRO 6000 Blackwell Server Edition
The professional graphics card from NVIDIA's Blackwell generation. Each card comes with 96 GB of GDDR7 memory, enough for large AI models and data sets.
GPU power for your AI project, booked in a few clicks.
Whether it's a language model, image recognition or your own AI application: one or more dedicated NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, each with 96 GB of GDDR7 VRAM, deliver the computing power. The graphics cards are yours exclusively, billed by the hour and hosted in Germany.
Compute-heavy projects you've lacked the power for until now
GPU Seeds from dataforest give you the power for projects with heavy computing demands, from AI to 3D to video. Whether for a single project or in ongoing operation, what you build with them is up to you.
Run your own language model
Run a language model on your own GPU, for example as an internal assistant or as a building block of your application. With 96 GB of graphics memory per card, even large models fit entirely into memory, and your data stays on your server in Germany.
Render 3D scenes and visualizations
Render photorealistic images, animations or product views from your 3D data. The card brings fourth-generation RT cores for ray tracing and 96 GB of graphics memory for large scenes.
Analyze large volumes of documents and images
Let an AI model analyze, summarize or sort your documents, images or texts. With 96 GB of graphics memory, the GPU handles large collections too.
Convert and prepare videos
Convert videos to other formats and resolutions, or prepare large libraries for your website and social media. Each card has four video encoders and four decoders for H.264, H.265 and AV1. They also handle H.264 and H.265 in 4:2:2, as recorded by professional cameras.
Develop AI applications
Take your AI idea all the way to a working prototype, whether a text assistant or an image model. Test with your real data and full computing power before you go into production.
Accelerate simulations and calculations
Compute flows, loads or physical models on the graphics card. More than 24,000 CUDA cores per card work in parallel.
GPU Seeds and pricing
Choose how many graphics cards your GPU Seed gets. Each configuration has an hourly price and a monthly cap.
© Protomaps© OpenStreetMap contributors
Frankfurt (DE)
GPU configurations
| GPUs | VRAM | CPU | RAM | Storage | Network | Price | Configure |
|---|---|---|---|---|---|---|---|
| 1× | 96 GB | 16 vCPUs | 128 GB | 500 GB | 20 TB traffic | 2,368100 € / Hour | |
| 2× | 192 GB | 32 vCPUs | 256 GB | 1000 GB | 20 TB traffic | 4,736200 € / Hour | |
| 4× | 384 GB | 64 vCPUs | 512 GB | 2000 GB | 20 TB traffic | 9,472400 € / Hour | |
| 8× | 768 GB | 128 vCPUs | 1024 GB | 4000 GB | 20 TB traffic | 18,944800 € / Hour |
Interested in other locations?
Let us know your preferred locations. Feel free to include specific ISO standards or requirements for your individual needs.
What's inside a GPU Seed
Seeds are the virtual servers of dataforest cloud: they start small and grow with your project. A GPU Seed also comes with one or more dedicated NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, each with 96 GB of graphics memory. Here you can see how you get from choosing and setting up to running it.
Choose
You choose how many graphics cards your GPU Seed gets, each with 96 GB of memory for large models and data sets.
As many graphics cards as your project needs
When you book, you choose whether your GPU Seed gets one or more graphics cards. Each of them is yours exclusively.
Hosted in Germany
Your data and computations stay on our infrastructure in Germany.
Set up
With root access, you set up the entire system the way your AI needs it.
Full control with root access
Root access gives you the entire system of your GPU Seed. You decide on software, models, services and configuration yourself, with no restrictions from our side.
Infrastructure for your own AI
We provide the computing power and the system. You set up which models and applications run on it.
Ready for your AI software
Graphics drivers and CUDA are already set up, so you can install your AI software right away.
Start AI models with one click
Beyond the pure infrastructure, we are planning one-click apps for GPU Seeds. You will then be able to start open-weights models such as Llama, Mistral, Qwen or gpt-oss, meaning AI models whose weights are freely available and that you may run yourself, on your GPU Seed with a single click. One-click apps like these already exist for our cloud servers.
Operate
Whether a single project or ongoing operation, you manage and protect your GPU Seed in the same console as your other servers.
A Seed that grows with your project
Seeds are the virtual servers of dataforest cloud. A GPU Seed is one of these servers with dedicated graphics cards. You start with as many cards as your project needs right now and expand it as it grows. Whether for a single project or in ongoing operation, you don't buy your own GPU servers and you pay by the hour.
One console for all your servers
You manage your GPU Seed in the same cloud console as your other servers, so everything stays in one place.
Protected with snapshots and backups
Use snapshots and backups to capture a state before you change something, or continue your environment later on a new GPU Seed. Your data is stored on our Ceph storage.
Configure GPU Seed
Configure your GPU Seed without signing up and see the price immediately. Once you register, your selection is carried over and you can start right away.
Location
Select the location where you want your seed to be deployed. Availability and prices may vary depending on the location.
Source
Choose between an operating system and an app as the basis for your seed. An operating system gives you a freshly installed system that you set up yourself. An app comes with a matching operating system and recommended seed requirements, and is set up automatically on first boot via a cloud-init configuration. Details, installed packages, and the installation guide are available on the detail page of the app.
Seed Properties
Select the seed configuration that suits your requirements.
GPU type
Seed extensions
Add optional features to your seed. Extensions are billed by the hour and can be enabled or disabled at any time.
Frequently asked questions about GPU Seeds
What is a GPU Seed?
A GPU Seed is a cloud server with one or more dedicated graphics cards. You set up your own software on it and use it to run your AI models and applications.
Which GPU is available to me?
The NVIDIA RTX PRO 6000 Blackwell Server Edition (SE for short) with 96 GB of GDDR7 VRAM. You book one or more of them; each is assigned exclusively to your GPU Seed.
Can I also use the graphics card for video?
Yes. Each graphics card is fully available to your GPU Seed, with its full performance. That includes the card's four video encoders and four decoders (NVENC and NVDEC). They handle H.264, H.265 and AV1, and H.264 and H.265 in 4:2:2 as well.
Which AI models can I use?
In principle, any model that works with NVIDIA graphics cards and CUDA. That covers most common language and image models. How well a particular model runs depends on its size and on the number of graphics cards you book.
Do I get a ready-made AI application?
GPU Seeds provide the infrastructure for your own software. You set up your models and applications yourself. For open-weights models such as Llama, Mistral, Qwen or gpt-oss, we are planning one-click apps that let you start a model with a single click.
Are graphics drivers and CUDA preinstalled?
Yes, if you choose our GPU image. It comes with graphics drivers and CUDA already set up, so you can install your AI software right away. The included versions are shown when you select the image. You can also choose any other image, such as Debian or Ubuntu, and install the drivers and CUDA yourself.
Can I use GPU Seeds for a single project or permanently?
Both. For a single project, you use the GPU Seed only for as long as you need it, billed by the hour. In ongoing operation, you protect your environment with snapshots and backups. The product terms in force at the time apply.
How does the selection work?
Mainly, you choose how many graphics cards your GPU Seed gets. vCPUs, memory and storage grow with the number of cards, and the pricing table shows every size and price. You then set the location, image and access, and add backups if you need them.
How quickly is my GPU Seed ready?
Your GPU Seed is ready to use within a few minutes. If a size is currently taken, you can book it once capacity frees up again.
When does billing end?
When you delete the GPU Seed. Shutting it down is not enough, because the graphics cards stay reserved for you.
What happens to my data when I delete the GPU Seed?
The system disk and snapshots are deleted with the GPU Seed, backups seven days later. Attached volumes keep all their data.
How are additional storage and traffic billed?
Every size comes with included traffic, the amount is shown in the pricing table. We look at traffic for your whole team rather than per GPU Seed: the included traffic of all Seeds is added up, prorated from the time of ordering to the end of the month. Only outbound traffic counts. Anything beyond that is billed per TB. You add more storage as a volume, billed by the hour for the size you book.
Ready for your AI project?
Choose your GPU Seed with one or more NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, billed by the hour and hosted in Germany.
