AI Infrastructure (GPU as a Service)
Reach L40S- and H200-class GPU capacity in minutes, with no hardware investment or setup overhead; pay only for what you use.
What you gain
Turns hardware CapEx into predictable, usage-based OpEx.
Launches AI projects in minutes without waiting on procurement and setup.
Enables controlled scaling from PoC to production on the same infrastructure.
What is it?
AI Infrastructure delivers shared or dedicated GPU capacity as a service for model training and inference. Without the burden of buying, setting up and maintaining hardware, you access L40S- and H200-class accelerators in minutes and scale on the same infrastructure as your workload grows.
Core capabilities
- Shared or dedicated GPU rental (L40S, H200)
- Suited to training, fine-tuning and high-volume inference workloads
- Capacity that scales on demand within seconds
- Infrastructure located in Türkiye — data is processed within local borders
- Organization- and project-based isolation, access and quota management
- Visibility into GPU usage, latency and utilization
Use cases
- Large language model training and fine-tuning
- High-volume batch inference workloads
- Computer vision and multimodal model training
- Research, experimentation and accelerated PoC environments
- Production capacity that flexes with seasonal demand
Target audience
Product description
A solution that delivers GPU infrastructure as a service, providing access to L40S and H200 accelerators through shared and dedicated options. It is designed for compute-intensive workloads such as model training, fine-tuning and inference. With Türkiye-compliant data residency, project-based isolation and usage-based pricing, it frees enterprise AI projects from the burden of managing hardware.
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