GPU as a Service
GPU Power on Demand – Optimizing Computing Costs in the Cloud
The growing popularity of artificial intelligence, machine learning, and data analytics means that traditional CPU processing power is no longer enough. In such scenarios, graphics processing units (GPUs) play a crucial role their architecture allows massive parallel data processing, dramatically accelerating computational tasks.
GPU Cloud is a flexible solution for companies that need high computing performance without investing in expensive hardware infrastructure. We provide GPU resources in an as-a-service model, allowing you to use the latest technologies exactly when you need them.
Why is it worth it?
Faster implementation of AI/ML projects
Train and infer models in less time.
Cost flexibility
You only pay for the resources you actually use, without purchasing hardware.
Scalability
Easily increase computing power as your project grows
Modern GPU models
Access to the latest generation of graphics cards.
We used the best graphics cards
NVIDIA H200
The most powerful next-generation accelerator, designed to handle the largest language models (LLMs), HPC, and Big Data workloads. Equipped with HBM3e memory and built on the Hopper architecture, it delivers record-breaking throughput and performance for enterprise-scale AI applications.
NVIDIA L40S
A versatile GPU optimized for AI training and inference, 3D rendering, and advanced simulations. The perfect choice for companies seeking a universal graphics processor for artificial intelligence, visualization, and compute-intensive workloads in the cloud environment.
NVIDIA RTX PRO 6000
A professional graphics card designed for designers, architects, and 3D creators. It delivers exceptional rendering quality, visualization performance, and smooth handling of large CAD models. Perfect for environments that demand precise graphics and rock-solid stability for professional workloads.
NVIDIA L4
An energy-efficient cloud accelerator designed for AI inference, video processing, and multimedia workloads. It delivers high performance with low power consumption, making it an excellent choice for streaming, edge applications, and VDI services.
Example application scenarios
Training Large AI Models (LLM)
GPU: NVIDIA H200
Deployment and training of large language models and neural networks for chatbots, natural language processing systems, and generative artificial intelligence.
Advanced 3D rendering and simulations
GPU: NVIDIA L40S
Architectural visualizations, physical simulations, and real-time film rendering. Ideal 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. A 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 real-time operation of chatbots and AI applications — all with low power consumption.
Scientific Computing and Big Data
GPU: NVIDIA H200 / L40S
Modeling of physical phenomena, bioinformatics analysis, climate forecasting, medical simulations, and large-scale data analysis in research environments.
Streaming games and applications in the cloud
GPU: NVIDIA L4 / L40S
Virtual desktops (VDI), game and software streaming from the cloud. Ideal for companies developing gaming, multimedia, and educational platforms.
