GPU servers for AI and complex computations

High-performance resources for AI, ML and GPU-accelerated workloads.

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AI/GPU solutions

Solutions for your workloads

MaCloud AI/GPU solutions let you use dedicated GPU servers for artificial intelligence, machine learning and complex computations. The infrastructure is suitable for training and fine-tuning models, running AI services, data processing, analytics, 3D rendering and engineering simulations.

Model training and fine-tuning

A dedicated GPU server provides the compute resources needed to train models, run experiments and work with large datasets.

Inference and AI services

Deploy servers for AI model serving, inference and applied AI services with the right memory capacity and performance.

ML, analytics and visualization

Use GPU computing for analytics and data processing, visualization, 3D rendering and engineering calculations.

Custom configuration

GPU server configuration for your workload

We select a configuration around your project requirements: GPU, CPU, RAM, storage, networking and software environment. GPU server rental is quoted individually based on workload and term.

GPU

We will select the type and number of accelerators, video memory and usage mode based on your model, framework and workload.

CPU and RAM

We will balance CPU resources and RAM so that data preparation and applications do not limit GPU acceleration.

Storage and networking

We will size the disk subsystem, storage capacity and network connectivity for fast dataset loading and result exchange.

Operating system and environment

We will align the operating system, drivers, frameworks and access required to launch your AI project.

Launching an AI/GPU project

Frequently asked questions

Answers to common questions about GPU servers for AI, ML and complex computations.

What workloads are GPU servers suited for?

GPU servers are suitable for training and fine-tuning AI/ML models, inference, data analytics, image processing, 3D rendering and engineering simulation.

Can you build a configuration for a specific model?

Yes. The configuration is selected based on the model requirements, data volume, required video memory, workload profile and planned term.

What information is needed for a quote?

For a preliminary quote, specify the task, model or framework, data volume, GPU, memory, disk and networking requirements, and the desired hosting term.

Can we install our own operating system and software environment?

The operating system and software stack are agreed before launch. Root/SSH access and preparation of the required environment can be discussed.

Is there a fixed GPU server price?

The price depends on the selected configuration, term and hosting conditions. We will prepare an individual offer after clarifying the requirements.

Custom GPU infrastructure estimate

Describe the task, model or framework, data volume and expected workload. We will prepare a GPU server configuration and a tailored offer for your project.

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