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ARKE LLM

ARKE LLM: enterprise intelligence on your own infrastructure

Open-source language models run on your organization's GPUs: zero data transfer, unlimited tokens, predictable fixed cost. Even your most sensitive data turns into AI without a single byte leaving your data center.

Zero data transfer Unlimited tokens, fixed cost Supports KVKK · GDPR · BDDK requirements
ARKE LLM Console vLLM · 2× H200 cluster ON-PREM
$ arke deploy arke-finance-32b --engine vllm --gpu 2xH200
Weights loaded  ·  32B params  ·  FP8
vLLM engine up  ·  continuous batching
Endpoint: llm.sirket.local:8443/v1  ·  air-gapped
# Query from an in-house app — no internet required
$ curl -s llm.company.local:8443/v1/chat -d '{"q":"Summarise Q2 cash flow"}'
{ "model": "arke-finance-32b", "latency_ms": 187,
"token_limit": "none", "external_calls": 0,
"answer": "Q2 net cash flow positive: collections +12% …" }
$
2× H200GPU
187 msLatency
Token
0Ext. calls
Unlimited tokens
0 Bytes leaving your DC

Every model in one interface, every query on the right model

Arketic never locks you into a single model. Cloud models like Claude, OpenAI and Gemini live side by side with open-source models on your own hardware; the LLM router directs every query based on confidentiality, cost and speed.

LLM router: sensitive workloads stay in, general queries go out

The router inspects each query against the data-classification rules you define: requests containing customer data, financial records or personal data never leave — they are processed on ARKE LLM. General knowledge questions go to the most economical cloud model.

  • One API, one interface: your assistants and flows stay the same even when the model changes
  • Rule-based routing: define policies by department, data class and cost limit
  • No vendor lock-in: when a new model ships, adopt it with a single configuration change
  • Domain fine-tuning: ARKE models learn your organization's terminology in regular cycles
ARKE LLMClaudeOpenAIGeminiLlamaQwenMistral
User / ApplicationAssistant, agent, workflow
LLM RouterPrivacy · cost · speed
ARKE LLM · On-premH200 GPU · air-gapped
Cloud LLMClaude · OpenAI · Gemini
Sensitive workload General query

Enterprise-grade hardware, production-grade inference

ARKE LLM is not a lab experiment — it's production infrastructure: the latest GPUs, enterprise servers and a high-throughput inference engine, in your data center or in a hybrid setup.

NVIDIA H200 GPU

The latest GPU class built for enterprise AI: large models run on a single node with long context windows.

141 GB HBM3e4.8 TB/s

xFusion Servers

Enterprise rack servers for high-density GPU hosting: redundant power, remote management and data-center standards.

rack serverGPU-dense

vLLM Inference Engine

The production standard of the open-source world: many times more concurrent users per GPU, low latency, efficient memory.

PagedAttentioncont. batching

Hybrid Cloud

On-premise, private cloud on Arketic's H200 infrastructure, or a mix of both — the LLM router works the same regardless. Air-gapped (fully isolated) environments are supported: no internet connection is needed during inference.

on-premprivate cloudair-gapped

A fixed GPU cost instead of a compounding token bill

With token-based cloud APIs, the bill compounds unpredictably as usage grows: every new assistant, every new department is a new cost line. ARKE LLM flips the equation — infrastructure cost is fixed and usage is unlimited. The more you scale AI, the lower your unit cost.

%70% maximum total-cost savings vs. token-based cloud APIs
  • Budget planning becomes clear: monthly cost is independent of usage volume
  • Unlimited tokens: no quotas, no rate limits, no surprise invoices
  • In hybrid scenarios, the router automatically pulls expensive queries onto the internal model
Cloud API — token-based ARKE LLM — fixed cost
Up to 70% savings
Month 1 Usage grows → Month 24

The ease of cloud, the security of open source

Enterprises are stuck between two extremes today: cloud APIs that see your data, and raw open source that's heavy to operate. Arketic combines the strengths of both in one platform.

Swipe the table sideways →

Criteria ARKETICHybrid platform Cloud AI API services Raw Open Source Build and run it yourself
100% Data Privacy
KVKK / GDPR Data Residency
Predictable Fixed Cost token-based only
Enterprise Interface & Management
Customizable Agent Flows (RAG) limited

In short: the only solution that delivers open-source security and cloud ease of use on a single platform.

Your data stays with you. Always.

With ARKE LLM, privacy isn't a setting — it's a physical fact: because the model runs on your hardware, there is simply no path for data to leave. The audit requirements of regulated industries are engineered into the architecture from day one.

  • 100% data privacy Zero data transfer: nothing leaves your data center — requests, responses or logs. In an air-gapped deployment, not even an internet connection is required.
  • KVKK, GDPR and BDDK requirements Data localization is physical: data is processed in Turkey, on your servers. On-site processing requirements of regulated sectors like finance are met by design.
  • Complete audit trail Every query, every model decision and every router action is logged immutably; internal audit and regulator reports are one click away.
  • A transparent model, not a black box You decide which model and which version runs; there are no silent updates. Updates and patches arrive as packages, applied entirely on the organization's schedule. Versioning and rollback are always at hand.

Common questions about ARKE LLM

The questions technical teams ask most during evaluation. Request a demo for a detailed architecture session.

Current open-source model families such as Llama, Qwen and Mistral are supported directly on vLLM. On top of these, Arketic adds ARKE models fine-tuned with your industry's terminology (legal, finance, manufacturing and more). They all expose the same OpenAI-compatible API — your assistants and agents never need to know which model is running.

No — there are three options: we install an H200-based cluster in your own data center; you use an isolated private cloud reserved for you on Arketic's xFusion + H200 infrastructure; or you start with a hybrid model combining both. In every scenario the cost is fixed, and you can start the PoC without any hardware investment.

Yes. A single policy in the LLM router pins all traffic to the internal model; in an air-gapped deployment there is physically no outbound path anyway. Many customers start hybrid, move sensitive departments (finance, legal, HR) to 100% internal models and leave general queries in the cloud — the decision is entirely yours and can be changed at any time.

Unlike cloud APIs, nothing changes without notice: new model versions are evaluated in a test environment first, promoted to production only when you approve, and rolled back with a single command if needed. Company-specific fine-tuning cycles run at regular intervals, entirely inside your environment with your data — the model learns alongside your organization, and the data still never leaves.

See your own model on your own infrastructure

Watch ARKE LLM live in a 30-minute technical demo: walk through model deployment, router policies and your cost scenarios together with our engineers.