Accelerate Innovation with GPU Power in the Cloud

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WHAT IS IT
WHY
WHEN NEEDED
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Use Cases
SIMILAR PRODUCTS

WHAT IS GPUaaS

GPUaaS delivers high-performance GPU infrastructure in the cloud, enabling organizations to process massive datasets, train complex AI models, and run demanding visual or analytical workloads without owning physical GPUs.

Built on NVIDIA vGPU and NVIDIA GRID technologies, GTS GPUaaS combines enterprise-grade performance with the scalability and resilience of our cloud data centers in Romania.

KEY FACTS

Unmatched performance
Access the latest NVIDIA GPUs (L4, L40, H100) for AI, ML, HPC, and 3D rendering tasks.
Elastic scalability
Instantly scale GPU capacity up or down, based on project demands.
Smart cost optimization
Pay only for the GPU resources you use — zero CAPEX, zero maintenance costs.
Security & compliance
Hosted in ISO-certified Romanian data centers, compliant with GDPR, NIS2, and DORA requirements.

Why Choose GTS GPUaaS?

Faster AI development cycles

Reduce model training and simulation time by up to 70%.

No hardware delays

Access GPU capacity within hours, with no waiting for equipment delivery.

Predictable OPEX

Transparent pricing with no hidden costs.

Full control

Dedicated portal for provisioning, monitoring, and usage analytics.

When GPUaaS Makes the Difference

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Situation

You want to develop AI models or run complex simulations, but you don’t have the right GPU infrastructure or are using outdated hardware.
The costs of new equipment are high, and long delivery times slow down your projects.

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Solution

Activate GPUaaS within a few hours and get instant access to:

NVIDIA H100 for AI training and HPC simulations
NVIDIA L4 for inference and video processing
Simple management via the portal, with no maintenance concerns

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Result

Processing time reduced by up to 70%
Operational costs cut by 50%
An agile, scalable IT infrastructure aligned with your business objectives

Technology Partners

Use Cases

Artificial Intelligence & Machine Learning – Model training, inference, generative AI.
High-Performance Computing (HPC) – Simulations, research, and advanced analytics.
Media & Entertainment – 3D rendering, VFX, video post-production.
Gaming & AR/VR – Game design, virtual worlds, and testing environments.
Video Analytics – Real-time processing and pattern recognition.
CAD & Engineering – 3D modeling, digital twins, industrial simulations.

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