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Private cloud with GPU

Ucloud GPU cloud (GPUaaS) provides high-performance computing for AI, machine learning, 3D rendering, and data analytics.

What is a private GPU cloud?

A private GPU cloud is a dedicated cloud environment where an organization gains access not only to GPU resources, but to a complete IT infrastructure including compute, memory, networking, and storage. This solution enables the deployment of AI, machine learning, data analytics, 3D rendering, and video processing workloads within an isolated, secure, and fully controlled environment. GPUs are an integral part of the platform, not a standalone service. Unlike public GPU services, a private cloud ensures predictable performance, no resource sharing, and the ability to tailor the architecture to specific project requirements.
As a result, organizations can develop advanced computational projects without investing in physical hardware, while maintaining full control over their data and environment.

We used the best graphics cards

NVIDIA H200

The most powerful next-generation accelerator, designed to support the largest language models (LLM), HPC and Big Data. With HBM3e memory and Hopper architecture, it delivers record throughput and performance for enterprise-scale AI applications.

NVIDIA L40S

A versatile card optimized for AI training and inference, 3D rendering and advanced simulations. The perfect choice for businesses needing an all-in-one GPU for AI, graphics, and compute workloads in the cloud.

NVIDIA RTX PRO 6000

Professional graphics card created for designers, architects and 3D creators. It offers the highest quality of rendering, visualization and work with large CAD models. Perfect for environments requiring precise graphics and stability in professional work.

NVIDIA L4

Energy-efficient cloud accelerator built for AI inference, video processing and multimedia tasks. It provides high efficiency with low power consumption, perfect for streaming, edge applications and VDI services.

Example application scenarios

Training large AI models (LLM)

GPU: NVIDIA H200

Implementing and training huge language models and neural networks to support chatbots, natural language analysis systems and generative artificial intelligence.

Advanced 3D rendering and simulations

GPU: NVIDIA L40S

Architectural visualizations, physical simulations and real-time film rendering. Perfect for film, design and engineering studios.

CAD/3D design and visualization

GPU: NVIDIA RTX PRO 6000

Creating engineering models, working with large CAD files and rendering 3D projects. Professional GPU for architects, engineers and graphic designers.

AI inference and video analytics

GPU: NVIDIA L4

Image and sound recognition, CCTV analytics, video content optimization, and support for chatbots and AI applications in real time – while maintaining low energy consumption.

Scientific computing and Big Data

GPU: NVIDIA H200 / L40S

Modeling of physical phenomena, bioinformatics analyses, climate forecasting, medical simulations and analyzes of large data sets in research environments.

Streaming games and applications in the cloud

GPU: NVIDIA L4 / L40S

Virtual desktops (VDI), streaming games and software from the cloud. Perfect for companies creating gaming, multimedia and educational platforms.

Why is it worth it?

Faster implementation of AI/ML projects

training and inferencing models in less time.

Scalability

easy increase of computing power as the project develops.

Modern GPU models

access to the latest generation graphics cards.

Cost flexibility

you only pay for the resources you actually use, without purchasing equipment.

High efficiency

faster processing of large data sets and complex calculations

Energy efficiency

less energy consumed with more computing power.

FAQ

What is a GPUaaS?

GPUaaS (Graphics Processing Unit as a Service) is a cloud service that allows you to use the computing power of GPU graphics cards without having to purchase and maintain your own hardware. The user receives access to efficient GPU resources in a service model, ready to run in the cloud.

What applications is GPUaaS best suited for?

GPUaaS is an ideal solution for projects related to artificial intelligence (AI), machine learning (ML), Big Data analysis, 3D rendering, simulations, HPC computing and video processing. It works well in both test and production environments.

What graphics cards are available with GPUaaS?

As part of the service, we offer enterprise-class NVIDIA cards, including: NVIDIA H200, L40S, L4 and RTX PRO 6000. The selection of a specific model depends on the nature of the project and the client’s performance requirements.

Can GPUaaS scale as the project grows?

Yes. The GPUaaS service allows for flexible scaling of resources – both increasing and decreasing computing power depending on current needs. Thanks to this, the customer pays only for the resources actually used in a given period.

Is it possible to test GPUaaS before production deployment?

Yes. We offer free GPUaaS testing so that the customer can check the environment’s performance, application compatibility and real benefits before deciding on production implementation.