The AI-Native Cloud.
From silicon to intelligent agents — production-ready AI infrastructure and services, delivered as simply as the cloud itself. World-class GPU compute, state-of-the-art models, and autonomous agents in minutes, not months — all running in data centers based in Türkiye.
curl https://api.dc4ai.cloud/v1/chat/completions \ -H "Authorization: Bearer $DC4AI_KEY" \ -d '{ "model": "qwen-72b-tr", "messages": [...] }' # Served from data centers in Türkiye · KVKK-compliant · per-minute billing
the full vertical stack — from silicon to agent — under one roof
AI is becoming the operating layer
of every business.
Yet the infrastructure behind it remains complex, capital-intensive, and locked behind hyperscaler ecosystems — lock-in, compliance risk, scarce hardware, and pilots that never ship.
Hyperscaler lock-in
AI capability is concentrated in a few global ecosystems — with opaque pricing, egress traps, and no local accountability.
The sovereignty gap
Regulated sectors — banking, healthcare, government — cannot move sensitive data and models to foreign clouds under KVKK and sector rules.
GPU scarcity & complexity
Acquiring, operating, and scheduling AI hardware is capital-intensive and requires rare expertise most enterprises don't have.
From pilot to production
Most enterprise AI initiatives stall between the demo and a governed, monitored, production-grade deployment.
Intelligence, consumed
like electricity.
The industry has a name for what this takes: the AI factory — compute and data in, intelligence out, the way a power plant turns fuel into electricity. DC4AI's vision is to be the region's reference AI factory: a sovereign, AI-native cloud where any organization — from a fintech startup to a national bank — reaches world-class GPU compute, state-of-the-art models, and autonomous agents in minutes, not months.
Five product lines.
One roof, one contract, one bill.
Every layer runs on one coherent, production-grade platform — GPU-optimized networking, orchestration, and managed data services — each line offered both ready-made and build-your-own, like a lego.
GPU Cloud
Bare-metal, single-tenant GPU servers — H200, B200, B300 — with full isolation and predictable performance for training and high-throughput inference. Access & development tools included: JupyterHub, VSCode Server, SSH.
H200 · B200 · B300Inference API
Intelligence through simple, OpenAI-compatible APIs. Serverless pay-per-token or pay-per-compute-power for experimentation and variable load; dedicated instances with no token metering and no ceiling for predictable, high-volume traffic.
serverless · dedicatedAI Storage & Data
The layer beneath every AI workload: S3-compatible Object Storage, VectorDB as a Service — Milvus, Qdrant, pgvector and more — and data preparation tools: ETL pipelines, embedding & chunking, web crawling.
S3 · VectorDB · ETLRAGaaS
Private knowledge turned into queryable intelligence — ready-made templates (Document RAG, Support/FAQ RAG, Code RAG) for production in days, or Custom RAG with full control over the retrieval pipeline and knowledge base.
days, not monthsAgents
From ready-made, task-specific agents — deployed and governed on our platform — to Agent Studio's visual builder, an Orchestration Engine acting on CRMs, ERPs, and enterprise integrations, and managed agent infrastructure: database, queues, API gateway, secrets vault.
studio · orchestrationMonitoring, model registries, evaluation, and usage metering are built into the console itself — a standing capability, not a separate line item.
Ready-made,
or built by you.
Every layer — models, RAG, agents — ships two ways: a ready-made product for teams who want speed, and a build-your-own toolkit for teams with specific requirements. Start serverless, graduate to dedicated, at your own pace.
Inference API
Global Models — Qwen, Llama, Mistral, Kimi — and Fine-Tuned Models behind one OpenAI-compatible API.
- Pay per token or per compute power
- For experimentation and variable workloads
- Reserved capacity on a dedicated instance
- No token metering, no ceiling
RAGaaS
Private knowledge turned into queryable intelligence.
- Document, Support/FAQ and Code RAG templates
- Production RAG in days, not months
- Full control over the retrieval pipeline
- Own your knowledge-base management
Agents
From ready-made intelligence to fully custom, orchestrated automation.
- Task-specific agents, deployed and governed
- Agent Studio visual builder
- Orchestration Engine — CRMs, ERPs, integrations
- Managed infra: DB, queues, gateway, vault
From catalog to capacity,
in four steps.
You pick what you want to run. The machine underneath is the second decision, not the first.
Open the console
Sign up in a minute. No card, and nothing to install.
Pick from the catalog
A ready application such as vLLM or Whisper, or a recipe that wires several together.
Configure in five steps
Instance, data center, storage, ports and environment — with the monthly cost updating as you go.
Reserve your capacity
Your configuration reaches our capacity team, and we come back with a date and a price.
Data center is a choice, not a region code: Türk Telekom, Turkcell or İşNET — you pick whose floor your workload sits on.
Install what you already know,
on sovereign infrastructure.
From model serving to RAG, automation to notebooks — deployed from a template in minutes, with or without a GPU.
Or skip the assembly entirely.
AI4DC is the ready-made half of the catalog: every stack above, fitted to run on our data centers and delivered as a finished product. Flows and business rules go in through the interface, and the Autonomous Agent can take a conversation, or an analysis you hand it, all the way to production.
Or start from a recipe
Positioned between two worlds.
Global platforms offer reach without residency. Boxed "AI factories" ship a rack into your data center and call it sovereignty. DC4AI is an AI Factory as a Service — already built, already running, on Turkish soil: intelligence you consume like a utility, not hardware you own and operate.
Global Platforms
Reach without residency
- General-purpose cloud, AI retrofitted
- Dollar-denominated, FX-exposed pricing
- No local residency or accountability
DC4AI
AI Factory as a Service — silicon to agent, under one roof
- AI-native at every layer
- Already built and running in Türkiye-based data centers — KVKK-compliant
- Transparent, TL-denominated, consumption-based pricing
- Enterprise SLAs, governance, and auditability built in
Boxed AI Factories
Hardware without a platform
- A rack shipped into your data center
- You own, operate, and staff it
- Sovereignty in name only
Four commitments define us.
AI-native, not AI-added
Every layer of our platform — hardware, scheduling, networking, billing — is designed around AI workloads first, rather than retrofitted onto general-purpose cloud.
Sovereign & compliant by design
All data resides in DC4AI-operated data centers in Türkiye — with full KVKK compliance, GDPR alignment, architecture designed for regulated financial workloads, and native-language models and support — the natural choice for banking, healthcare, government, and other trust-critical sectors.
Ready-made or built by you
Every layer — models, RAG, agents — ships two ways: a ready-made product for teams who want speed, and a build-your-own toolkit for teams with specific requirements. Start serverless, graduate to dedicated, at your own pace.
Radically simple economics
Transparent, TL-denominated, consumption-based pricing — no FX exposure, no egress traps, and no lock-in — the fastest, most predictable path from idea to production AI.
Built for trust-critical sectors —
and for builders.
Banking & Insurance
Tuned models and agentic flows for onboarding, risk, fraud, and service — on sovereign, KVKK-compliant infrastructure built for regulated financial workloads.
Public Sector & Healthcare
Citizen and patient services powered by native-language AI, with data that never leaves Türkiye.
Telecom & Enterprise
High-throughput inference, iPaaS integration, and MLOps workspaces for in-house data science teams.
Startups & Builders
OpenAI-compatible endpoints, per-minute GPU billing, and managed workspaces — the shortest distance from prompt to product.
Where intelligence runs.
For enterprises: AI ambition turned into governed, production-grade reality.
For builders: the shortest distance between a prompt and a product.