GPUaaS — GPU as a Service
Access the GPU power needed for AI, machine learning and intensive compute workloads when you need it — without buying expensive GPU hardware.
GPUaaS (GPU as a Service) delivers graphics processing units as a service. It suits intensive workloads such as AI model training, inference and scientific computing.
You use GPU resources for the duration of the project and release them when you are done. The risk of heavy hardware investment and idle capacity disappears.
What stands out
On-Demand GPU
Provision GPU resources when you need them.
AI/ML Workloads
Resources optimised for model training and inference.
Flexible Usage
Project-based usage and cost control.
Managed Environment
Infrastructure operation is Cloud Expert's responsibility.
Located in Türkiye
Compute aligned with data sovereignty.
When to choose it
AI Model Training
Train large models quickly.
Inference
Serving models in production.
Scientific/Engineering Computing
Intensive numerical workloads.
Why Cloud Expert?
GPU power without hardware investment or the risk of idle capacity.
A managed environment with local operations support.
Common questions
Consider together
GPUaaS — let us design the right architecture together
Tell us what you need and we will shape a tailored architecture and roadmap. The first conversation is non-binding.
Talk to an Expert