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PRIVATE AI
STARTER KIT
A production-ready environment for real-world AI tools, with strict European data sovereignty. Zero infrastructure overhead.
DevOps Squad AI Full Stack - Cloud infrastructure and managed Kubernetes services

The Private AI Starter Kit: On-Demand European Inference

The Private AI Starter Kit is a fully managed inference endpoint built on top of on-demand European GPUs. While the data center provides the raw compute, we provide the AI Engineering & Operations to configure, optimize, and maintain the vLLM engine. For starting at $150/mo, you get an OpenAI-compatible API with strict European data sovereignty and zero infrastructure overhead. Ideal for small SaaS or internal SME teams.

Why choose the Private AI Starter Kit?

The Limitations

  • US Cloud Act liability
  • High infrastructure overhead
  • Complex Kubernetes management
  • Unpredictable GPU costs

The Freedom

  • Strict European data sovereignty
  • Zero infrastructure to manage
  • On-Demand European GPUs
  • Pay only for what you use

What Does the Starter Kit Include?

DevOps Squad AI Full Stack - Infrastructure illustration
On-Demand GPU Compute

Fully managed, auto-scaling GPU environments deployed in Europe.

DevOps Squad AI Full Stack - Infrastructure illustration
Secure Control Plane

A fully managed API gateway with built-in observability, authentication, and automated cost guards.

DevOps Squad AI Full Stack - Infrastructure illustration
European GPU Hyperscaler

Deployed natively on European infrastructure, ensuring strict European data sovereignty and GDPR compliance.

Typical Use Cases

The Starter Kit is designed for real-world business use cases for small teams. It is the perfect production-ready environment to run your AI tools without investing heavily in dedicated hardware.

Internal RAG Applications

Connect your internal Confluence or Notion to a private LLM without leaking company secrets to OpenAI.

Data Extraction

Process PDFs, invoices, and unstructured text into clean JSON using open-source models like Llama 3.

SaaS Feature AI Backends

Build and test AI features for your SaaS product with a predictable cost structure before scaling up.


Raw Compute vs. Managed AI Platform: What do you actually get?

The data center provides the raw GPU compute. DevOps Squad provides the AI Engineering & Operations. We package, configure, and maintain the inference engine (e.g., vLLM) optimized for the underlying hardware. You don’t have to figure out how to run an LLM; you just get an OpenAI-compatible API endpoint.

The Data Center (The Compute)

  • On-demand GPU availability
  • Per-second compute billing
  • Hardware availability
  • European data centers

DevOps Squad’s Role (The Platform)

  • Inference Engine: vLLM configuration & model caching
  • Secure Gateway: API authentication & IP whitelisting
  • Observability: Real-time metrics & log streaming
  • Cost Guard: Usage tracking & anomaly detection

What Are the Boundaries of the Service?

To keep this service affordable and sustainable, we adhere to strict boundaries. We run the platform; you run the code.

Our Responsibility (Infrastructure)

  • Endpoint Uptime: We ensure the inference endpoint is available.
  • Engine Configuration: We manage the vLLM/TGI container settings.
  • Model Deployment: We handle downloading and caching weights from HuggingFace.
  • Scenario: ‘Endpoint returns 500 error’ -> We fix it.

Your Responsibility (Application)

  • Prompt Engineering: You write the prompts.
  • Model Selection: You choose which models to deploy.
  • Application Logic: You build the RAG or chat application.
  • Scenario: ‘Model hallucinates or gives bad answers’ -> You fix it.

How It Works: Your First 7 Days

1. Discovery

We analyze your use case and select the optimal open-source model (e.g., Llama 3, Mistral) and GPU tier for your specific workload.

2. Deployment

We provision the on-demand compute environment, configure the vLLM engine, load the model weights, and secure the endpoint.

3. API Handover

You receive a standard OpenAI-compatible API key. You change the base_url in your application, and your private AI is live.


How Much Does The Kit Cost?

starting at $150 / month

Plus starting at $495 Setup Fee

  • On-Demand GPU Compute.
  • Fully managed serverless inference endpoint.
  • Deployed on Europe’s premier GPU hyperscaler.
  • Strict European data sovereignty.
  • Zero infrastructure overhead.
  • Pay only for the underlying Compute Costs.

+ On-Demand Compute Costs based on your usage.

Have questions about the Private AI Starter Kit?

What is the Private AI Starter Kit?

It is a fully managed serverless inference endpoint powered by On-Demand GPU Compute.

Who is this for?

Small SaaS or internal SME teams needing a production-ready AI inference endpoint for real-world use cases, while maintaining strict European data sovereignty.

Where is the data processed?

On Europe’s premier GPU hyperscaler, ensuring strict GDPR compliance.

Do I own the weights?

Yes. 100%. You can download them anytime.

Can I use custom models?

Yes, you can pull any model from HuggingFace.

What about data privacy in a multi-tenant environment?

While the underlying GPUs are shared (serverless), your container environment is strictly isolated. We enforce TLS encryption in transit, and memory is wiped the millisecond your container spins down. Zero data is logged, retained, or used for model training by us or the data center.

Can we track and debug our actual prompt payloads?

Not in the Starter Kit. To guarantee absolute data privacy in a multi-tenant environment, our observability stack is strictly configured to collect metadata only (token counts, latency, error rates). The actual text of your prompts and completions is explicitly stripped at the gateway. If your engineering team requires full payload logging for RAG evaluation or prompt debugging, you must upgrade to a dedicated, single-tenant deployment (The Datadog Killer appliance).

Do our engineers get access to the observability dashboards?

Yes. We provision role-based access (RBAC) to a scoped dashboard where your team can monitor token usage, latency (TTFT/TPS), and error rates in real-time. You have full visibility into your endpoint’s performance without managing the underlying metrics infrastructure.

How does pricing work?

You pay a fixed setup fee and monthly retainer, plus the actual on-demand compute costs based on your usage.

Is there any infrastructure to manage?

No. We handle the endpoint deployment, scaling, and maintenance. You just call the API.

Can I upgrade later?

Yes. If your concurrency needs grow, you can seamlessly upgrade to our Private AI Inference or Private Agent Runtime products.

Reclaim your proprietary data. Deploy Private AI.

Stop sending your proprietary IP to external APIs and managed SaaS. We deploy high-throughput inference and stateful agents directly onto your own Bare-Metal or VPC infrastructure. Execute AI workloads with zero API taxes, zero hyperscaler lock-in, and absolute control over your data.

What other AI infrastructure products do we offer?


Private AI Inference

Learn More →

Private Agent Runtime

Learn More →

Infrastructure Audit

Learn More →



Not sure where Private AI fits in your stack?
Book a free 30-minute
discovery Zoom. We’ll review your AI workloads, data flows, and current cloud setup, then give you a clear Go / No-Go recommendation. If private inference, agent runtimes, or managed data services make sense for your architecture, we’ll show you the next step. If not, we’ll tell you directly.

Interested? Contact us.

Contact Us
DevOps Squad OG, FN 539629y

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