You can do anything, but not everything.

Specialized GPU Cloud Provider, serving thousands of graphics cards for all the industries.

Infrastructure as a Service

Cloud Servers Ready For AI

W3Cloud is an advanced GPU cloud service is tailored for multi-GPU tasks, making it perfect for AI training, machine learning, data analysis, video processing, and scientific simulations. It delivers unmatched performance with high-performance machines equipped with up to six NVIDIA RTX 3090 or RTX A5000 GPUs, providing the necessary computational power for demanding tasks. This setup accelerates workflows for researchers, developers, and professionals.

Users can access remote servers via Jupyter Lab, gaining full control over the environment to install any necessary software, tools, or frameworks. Operating on an Infrastructure as a Service (IaaS) model, the service offers flexible billing options, including hourly, daily, and monthly plans, catering to various project needs and budgets.

Offering significant cost advantages, this service is an attractive option for those looking to optimize their spending without sacrificing quality.

Scale for AI Training and Inference

1. Choose a Server

Select a CPU or GPU server to start your AI project. If you need more power, we can provide a cluster with multiple servers to handle complex tasks. This setup is perfect for AI training, machine learning, data analysis, video processing, and scientific simulations.

Select Your Preferred OS

Choose between Windows or Ubuntu for your server's operating system. You can easily install any software you need. Both Windows and Ubuntu support GPU scheduling and system display, making them great for AI workloads and multi-GPU tasks.

3. Start Working

Start working in minutes via RDP (Remote Desktop). Our GPU servers perform like your local machine but are much faster, giving you the computational power required for demanding AI, machine learning, data analysis, and video processing tasks.

Blender Render Farm GPU

Pricing

SINGLE GPU SERVER

$1.08/h

1 x NVIDIA RTX 3090 24GB vRAM

CPU: 8 cores - 16 vCPUs

RAM: 32GB DDR4

NVIDIA CUDA Cores: 1 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

Most popular server

MULTI GPU-2 SERVER

$2.16/h

2 x NVIDIA RTX 3090 24GB vRAM

CPU: 16 cores - 32 vCPUs

RAM: 64GB DDR4

NVIDIA CUDA Cores: 2 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-4 SERVER

$4.32/h

4 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-6 SERVER

$6.48/h

6 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

CPU SERVER

$0.117/h

CPU: 2 cores - 4 vCPUs

RAM: 4 GB DDR4

SSD: 128GB SSD

OS: Windows or Ubuntu

Support: 24/7

BARE-METAL SERVER

Set up

Tailor made configurations

CPU: Up to 80vCPU

RAM: Up to 256GB DDR4 and DDR5

GPU: Up to 6 GPUs each server

SSD: Up to 4TB NVMe

OS: Windows 10 or Ubuntu 22.04

Support: 24/7

Available GPU and CPU clusters

Configure in the Console

SINGLE GPU RENDERING

$25.92/day

1 x NVIDIA RTX 3090 24GB vRAM

CPU: 8 cores - 16 vCPUs

RAM: 32GB DDR4

NVIDIA CUDA Cores: 1 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

Most popular server

MULTI GPU-2 SERVER

$51.84/day

2 x NVIDIA RTX 3090 24GB vRAM

CPU: 16 cores - 32 vCPUs

RAM: 64GB DDR4

NVIDIA CUDA Cores: 2 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-4 SERVER

$103.68/day

4 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-6 SERVER

$155.52/day

6 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

CPU RENDERING

$2.83/day

CPU: 2 cores - 4 vCPUs

RAM: 4 GB DDR4

SSD: 128GB SSD

OS: Windows or Ubuntu

Support: 24/7

BARE-METAL SERVER

Set up

Tailor made configurations

CPU: Up to 80vCPU

RAM: Up to 256GB DDR4 and DDR5

GPU: Up to 6 GPUs each server

SSD: Up to 4TB NVMe

OS: Windows 10 or Ubuntu 22.04

Support: 24/7

Available GPU and CPU clusters

Configure in the Console

SINGLE GPU SERVER

$699.84/month

1 x NVIDIA RTX 3090 24GB vRAM

CPU: 8 cores - 16 vCPUs

RAM: 32GB DDR4

NVIDIA CUDA Cores: 1 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

Most popular server

MULTI GPU-2 SERVER

$1399.68/month

2 x NVIDIA RTX 3090 24GB vRAM

CPU: 16 cores - 32 vCPUs

RAM: 64GB DDR4

NVIDIA CUDA Cores: 2 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-4 SERVER

$2799.36/month

4 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

MULTI GPU-6 SERVER

$4199.04/month

6 x NVIDIA RTX 3090 24GB vRAM

CPU: 32 cores - 64 vCPUs

RAM: 128GB DDR4

NVIDIA CUDA Cores: 4 x 10.496

OS: Windows or Ubuntu

Storage: Up to 2TB NVMe SSD

Support: 24/7

CPU SERVER

$68/month

CPU: 2 cores - 4 vCPUs

RAM: 4 GB DDR4

SSD: 128GB SSD

OS: Windows or Ubuntu

Support: 24/7

BARE-METAL SERVER

Set up

Tailor made configurations

CPU: Up to 80vCPU

RAM: Up to 256GB DDR4 and DDR5

GPU: Up to 6 GPUs each server

SSD: Up to 4TB NVMe

OS: Windows or Ubuntu

Support: 24/7

Available GPU and CPU clusters

Configure in the Console

AI Cloud Servers

Rent GPU cloud servers for AI

Supercharge your AI projects with GPU cloud servers featuring the latest NVIDIA GPUs. Perfect for machine learning, deep learning, data processing, and scientific simulations, these high-performance servers effortlessly handle demanding AI workloads. Gain the computational power you need to accelerate your AI training, machine learning models, and data analysis.

Get started FREE

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About Us

GPU Cloud Infastructure

Based in Barcelona, Spain, we are a private data center committed to providing advanced solutions that meet the computational needs of our clients.

With a focus on practicality and efficiency, we have developed a strong infrastructure that supports the integration of thousands of graphics cards, enabling distributed operations at scale. This ensures reliable performance across our network.

Our expertise is built on countless hours of programming and ongoing research, establishing us as a trusted name in computational services.

+14,63

PetaFlops of processing power

+946

GPUs in our own Data Center

Dashboard mockup

Support

Frequently asked questions

Everything you need to know about the product and billing.

Can I rent more than one server?

Yes, you can order multiple GPU servers and create a cluster within the same network to work together. This setup is perfect for AI training, machine learning, data analysis, video processing, and scientific simulations. Please contact us at it@w3cloud.io for more information.

Can I change my plan later?

Absolutely, our hardware-accelerated GPU scheduling allows for flexible pricing that scales with your needs. We can upgrade or downgrade the GPU resources and server configurations at any time to meet your computational demands and AI projects.

Time to get access to the server rented?

When you rent a GPU server on our platform, you will have high-priority access within minutes. In some cases, it may take approximately 30 minutes. This ensures your machine learning models, deep learning tasks, and data processing workflows start promptly.

Can other info be added to an invoice?

Yes, you can add extra details to invoices via the user settings in our platform. Alternatively, contact our billing department at info@w3cloud.io. This feature is useful for keeping track of expenses related to your AI and machine learning projects.

How does billing work?

We offer daily and monthly billing in advance, and we are working on introducing hourly billing options soon. For enterprise customers, we provide long-term contracts to meet your business needs. This flexibility helps manage budgets for AI, data processing, and other intensive computational tasks.

How do I change my account email?

You can update the email address associated with your account by visiting www.console.w3cloud.io. This ensures you receive all necessary updates and notifications about your GPU cloud servers and AI initiatives.

GPU Server for AI

Utilize high-performance GPU servers for deep learning, machine learning, AI model training, and data analysis.

Contact us

Our dedicated team is always eager to hear from you. Please don't hesitate to share your thoughts, questions, or concerns. Your input is invaluable in helping us improve our services.

info@w3cloud.io

Av Can Graells n39, Sant Cugat del Vallès, Spain

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