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Artificial Intelligence
Use GPU resources, storage and a container platform on the same cloud for training and inference. Your training data stays within Türkiye and resources are billed by the hour.
Challenges
Training data such as customer records, documents and images often contains personal data. Moving it to services abroad requires additional review under KVKK.
Buying your own GPU servers means significant upfront investment and long-term capacity planning, a big risk for a team that is still experimenting.
When the dataset sits in one place, training in another and inference in a third, data movement, security and cost tracking all get harder.
In an AI-powered product, request volume changes through the day. Fixed capacity falls short at busy hours and sits idle at quiet ones.
Our approach
Products used
GPU ServerGPU servers for AI and compute-heavy workloads, on the same platform as your servers, Kubernetes clusters and storage.Explore product
Object StorageS3-compatible object storage with encryption, versioning and immutability. Shared or dedicated, and fully Veeam compatible.Explore product
Managed KubernetesManaged Kubernetes clusters ready in 5 minutes through the UI and wizards, with no command line required.Explore productBlock and File StorageDedicated block and file storage in the public cloud with VPSA. All Flash or Hybrid, active in under 5 minutes.Explore productAuto-ScaleAuto-Scale adds servers as load rises and removes them as it falls. You pay only for the capacity you actually use.Explore productOutcomes
Data used for training and inference stays in data centers in Türkiye, on KVKK-compliant infrastructure services.
You start without buying hardware, and resources are billed by the hour. If data must stay on your premises, GPU is also available through On-Premises Cloud on a monthly rental model.
With storage, GPU and Kubernetes on the same cloud, data moves less and access is managed in one place.
Inference services grow automatically under load, and extra capacity is paid for only during the hours it is needed.
GPU configurations are quoted based on your workload. Talk to an Expert for current options and capacity.
When you use the Türkiye regions (İstanbul and Konya), your data stays within Türkiye. Data remains in the region you choose unless you move it elsewhere yourself.
Yes. On-Premises Cloud delivers virtual server, Kubernetes, GPU and database services in your own data center, with zero upfront investment on a monthly rental model.
S3-compatible Object Storage suits large datasets that change rarely, while VPSA All Flash block storage suits working sets that need high performance during training. Versioning in Object Storage lets you go back to earlier states of a dataset.
Open a free trial account or talk your needs through with an expert.