How much does vLLM hosting cost?

vLLM itself is licensed under Apache 2.0 and carries no licence fees. Costs come from GPU servers and operations. WZ-IT offers fixed packages as Managed GPU Server; setups with multiple GPUs, multiple models or on your own hardware are calculated after sizing, based on model, context length and number of users.

Does vLLM require a GPU?

No. vLLM supports NVIDIA CUDA, AMD ROCm and Intel XPU as well as CPUs (x86, ARM) and Apple Silicon. For production use with many concurrent requests a GPU with enough VRAM is the norm, because VRAM determines which model and which context length fit into memory.

Can I run vLLM with Docker?

Yes. The official image is vllm/vllm-openai and starts the OpenAI-compatible server directly. The container needs access to the host's shared memory (--ipc=host or --shm-size) because vLLM uses it for tensor parallelism. We pin the version and test updates before switching.

Is the vLLM API OpenAI-compatible?

Yes. vLLM provides, among others, the Completions, Chat Completions, Responses and Embeddings endpoints. Existing applications and the OpenAI libraries reach vLLM through a changed base URL. We test which features, such as tool calls or structured outputs, work with the chosen model before go-live.

Can vLLM serve several models at the same time?

One vLLM instance serves one model. For several models, multiple instances run in parallel and a gateway such as LiteLLM routes requests by model name through a shared API.

What is the difference between vLLM and Ollama?

Ollama is quick to set up and suits single workstations, tests and small teams. vLLM is built for many concurrent requests: continuous batching, PagedAttention and tensor parallelism across multiple GPUs. Both offer OpenAI-compatible APIs, so moving an application from Ollama to vLLM later is usually just a configuration change.

vLLM Hosting in Germany: Inference Server Operated by WZ-IT

WZ-IT plans, installs and operates vLLM as managed hosting, in your cloud or on premises. Depending on the target design, we also provide migration, secure network and identity integration, monitoring, backups, updates, integrations and further development.

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About the technology

What is vLLM?

vLLM is an inference server for LLM workloads with concurrent requests and large models. PagedAttention and continuous batching can use GPU memory more efficiently; actual throughput depends on model, hardware and configuration.

We set up vLLM production-ready: tensor parallelism across multiple GPUs (TP), appropriate quantization such as FP8, a sized context window, an OpenAI-compatible API, an auth gateway, monitoring and clean integration with Open WebUI, LiteLLM and RAG pipelines. On our infrastructure or on your own GPU hardware.

GitHub Website

vLLM Features for Enterprises

High-throughput inference
PagedAttention and continuous batching increase throughput under many concurrent requests; how much depends on model, hardware and load. Suited to internal AI assistants with many users.
Multi-GPU with tensor parallelism
Large models that do not fit on a single GPU are distributed via tensor parallelism (TP) across multiple cards - for example a 122B model across two RTX PRO 6000.
OpenAI-compatible API
vLLM provides OpenAI-compatible endpoints. Applications, SDKs and API functions are tested against the selected version before compatibility is assumed.
Quantization & VRAM efficiency
With FP8, AWQ or GPTQ we get more model and more context out of the available VRAM - balanced for quality, response time and hardware.
BYOI: on your own GPU hardware
You provide the GPU servers, we set up vLLM, configure the model, tensor parallelism and API, document everything and hand over cleanly - Bring Your Own Infrastructure.
Production operations
Monitoring, auto-restart, updates, model tests, security hardening and support turn an inference container into a resilient AI platform.

Infrastructure, integration and operations

vLLM as part of your infrastructure

We do more than provide an application. WZ-IT designs the technical architecture, integrates network and identity, operates the agreed scope and develops integrations when the standard product is not enough.

Architecture and migration

Sizing, target environment, data transfer, cutover and recovery are resolved before production operations.

On-Premise
In your data center: Installation on bare-metal, VM or Docker · Integration with existing Active Directory/LDAP
Cloud Installation
AWS, Azure, Hetzner & more: Installation on AWS, Azure, GCP, Hetzner · Terraform/IaC setup (optional) · Kubernetes or Docker Compose · Capacity and scaling design
Enterprise Setup
Advanced architecture after technical and licence assessment: HA and recovery design where supported by the application and edition · Logging according to feature set and edition · Custom security policies

Network and identity

SSO, secure access, internal systems and existing security components are integrated appropriately.

VPN Access
WireGuard, NetBird, Tailscale, Headscale, OpenVPN, Cloudflare Tunnel · Easy client setup for all devices
SSO Integration
Directly or through an upstream identity layer
Multi-Factor Auth
Depends on application, edition and identity provider
Firewall & Hardening
Fail2Ban, Rate Limiting, IP Whitelisting

Monitoring and service level

Updates, backups, technical monitoring and response paths follow a transparent operational scope.

24/7 proactive monitoring
Updates and patches
Regular updates, CVE monitoring and prioritised patches for critical vulnerabilities
Daily backup with 7-day retention
Personal technical contact

Integration and development

APIs, automation and custom extensions can be delivered beyond basic deployment.

Full-service installation with no hidden costs

What the vLLM setup includes

Complete installation & configuration
SSL certificate & reverse proxy setup
Backup strategy & disaster recovery
Performance optimization & tuning
Security hardening following OWASP
Monitoring & logging setup
Documentation & best practices
Administrator training (remote)
30 days email support included
Dedicated contact person
Optional integration: LDAP/AD, SSO, MFA
Update strategy & patch management setup

The exact scope depends on the application, edition, infrastructure and criticality. Vendor licences and non-standard components are quoted separately.

AI Stack

vLLM in a production AI stack

Inference layer
vLLM handles high-throughput model serving and forms the basis for chat, RAG, agents and internal AI APIs with many concurrent users.
Operations & lifecycle
We take care of GPU utilization, tensor parallelism, model changes, updates, health checks and auto-restart for stable production environments.
Data sovereignty
Access through VPN, SSO, internal networks or API gateways. Models can run on controlled infrastructure; upstream and downstream services are included in the data-flow assessment.

Managed Hosting & Operations

Plan the operating scope and costs for vLLM

Compute, applications, storage and response are shown separately. You can see what ongoing operations include and which requirements need a technical assessment.

Price after technical assessmentIndividual proposalA clearly defined operating scope instead of an opaque hosting flat fee.

vLLM hosting in Germany: GDPR-compliant operations

Sizing based on users, load profile and target architecture
Dedicated resources matched to the application
German data centres with ISO 27001 and BSI C5, no US clouds
Regular updates, CVE monitoring and prioritised patches for critical vulnerabilities
Central logs with immutable retention
24/7 proactive monitoring
Backup and recovery based on the agreed architecture
Five service levels, 24/7 P1 response with Production or Critical
Personal technical contact

Schedule a Call

Straightforward provisioning within a few business days

Payment

Bank transfer

All prices are net and exclude statutory VAT. The offers are addressed to businesses. All on-premises options

Other options

Bring Your Own Infrastructure

Installation on Your Infrastructure

Installation on your own infrastructure · On-premise or in your cloud · Control over data location and access · Custom configuration · Complete documentation · Initial setup & configuration · Optional support and maintenance contract

Price on request, plus optional support & maintenanceRequest a proposal →On-premises option

Run vLLM on hardware at your organisation

As an alternative to managed hosting in the data centre, WZ-IT provides the hardware, configures vLLM, and handles hardening, monitoring, updates, backup and technical support. Access can be limited to the internal network or enabled through VPN and existing identities.

from €7,990 excl. VAT one-time · plus AI Cube Care at from €349.90 excl. VAT / monthView AI Cube →

Target architecture

Integrate vLLM into your infrastructure with clear controls

AI applications need controlled model access, knowledge sources, permissions and observability in addition to the user interface. We design these data flows as one coherent stack.

Users and connected applications

Teams, business applications and API clients use defined interfaces and endpoints.

Secure access

TLS, firewall rules, reverse proxies or private network paths are designed around the platform's exposure.

Identity and permissions

Local accounts, SSO, directories, service accounts and emergency access are connected through clear roles.

vLLM platform

Application logic, model access, roles and approved capabilities run in a controlled environment.

Models and compute

Local or external models, GPU/CPU resources, routing, limits and cost controls.

Knowledge and data

Documents, databases, vector search and traceable data paths for RAG and search.

Tools and observability

Reviewed tools, APIs, logging, metrics and technical quality controls.

Models, extensions and data sources are not enabled indiscriminately. Permissions, data exposure, cost and professional oversight are assessed per use case.

Local AI server or custom GPU infrastructure

The AI Cube covers the compact entry point. For larger models, rackmount or high concurrency, we design custom GPU systems.

Managed GPU Servers

Dedicated NVIDIA GPU servers in Germany including an agreed model, vLLM inference layer, Open WebUI and ongoing managed operations.

20 or 96 GB of dedicated GPU memory
24/7 monitoring with selectable service level
Model, vLLM and Open WebUI included
Server location Germany

Explore GPU Servers

AI Cube

Compact NVIDIA GB10-based local AI server. Fully configured, hardened and prepared with a local model agreed in advance.

128 GB unified memory
Open WebUI and local model runtime
Base setup and hardening included
Initial setup and support included

View local AI server

Role in the overall system

Related services for vLLM

This page covers installation and the agreed platform operations for vLLM. Custom code, the access layer and special confidentiality requirements remain clearly separated responsibilities that can be added when needed.

Maintain the application

Support custom code and integrations

Keep custom extensions, interfaces and dependencies controlled, updated and supportable.

View service Secure access

Connect users, sites and systems

Add identity-based access and private network paths as a separate operational layer.

View service Operate confidentially

Assess Section 203 requirements separately

For professional secrecy holders, define contractual, access and infrastructure requirements in a dedicated operating model.

View service

Three relevant adjacent paths instead of a long list of further products.

View the overall system

Frequently asked questions about vLLM hosting

Answers to the most important questions

Knowledge

More about vLLM

Tutorials & guides

Matching solutions for your project

Reviews & projects

Client feedback and projects worldwide

WZ-IT moved our studio infrastructure from decentralised individual devices to a central platform: every site is securely connected via VPN, new devices are onboarded automatically and an entire site is provisioned from a template, without manual steps on location. What impressed me most is the breadth and depth of their knowledge: Timo and Robin are not a typical IT provider who sets up a server and leaves. The two of them think their way into highly complex infrastructure and software topics, work through every requirement we put in front of them, and build networking, provisioning and operations so that everything fits together in the end. WZ-IT is an excellent partner for complex software, network and architecture projects.

Steve KirchnerManaging Director, nextGYM GmbH

View project

International

Built in Germany's Ruhr Valley. Running worldwide.

WZ-IT designs, develops and operates infrastructure and software for clients in Germany and internationally. We deliver projects remotely and continue supporting them in ongoing operations after go-live.

Selected projects

Read client reviews

Managed Hosting & Operations

Enquire about hosting and operations for vLLM

Briefly describe the current state and objective for vLLM. We assess infrastructure, integration, and ongoing operations.

Straight with Timo and Robin - no sales team, no pitch
A professional assessment of your situation
Concrete next steps for infrastructure, software or AI

The conversation is free and non-binding.

WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.

Jakob ÖschlbergerInno7 GmbH

Email[email protected]Phone+49 2922 875068

WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.

Jakob ÖschlbergerInno7 GmbH

vLLM Hosting in Germany: Inference Server Operated by WZ-IT

High-throughput inference

Multi-GPU with tensor parallelism

OpenAI-compatible API

Quantization & VRAM efficiency

BYOI: on your own GPU hardware

Production operations

On-Premise

Cloud Installation

Enterprise Setup

VPN Access

SSO Integration

Multi-Factor Auth

Firewall & Hardening

24/7 proactive monitoring

Updates and patches

Daily backup with 7-day retention

Personal technical contact

What the vLLM setup includes

Inference layer

Operations & lifecycle

Data sovereignty

vLLM hosting in Germany: GDPR-compliant operations

Installation on Your Infrastructure

Run vLLM on hardware at your organisation

Users and connected applications

Secure access

Identity and permissions

vLLM platform

Models and compute

Knowledge and data

Tools and observability

Managed GPU Servers

AI Cube

Support custom code and integrations

Connect users, sites and systems

Assess Section 203 requirements separately

How much does vLLM hosting cost?+

Does vLLM require a GPU?+

Can I run vLLM with Docker?+

Is the vLLM API OpenAI-compatible?+

Can vLLM serve several models at the same time?+

What is the difference between vLLM and Ollama?+

Tutorials & guides

Matching solutions for your project

Built in Germany's Ruhr Valley. Running worldwide.

Selected projects

Read client reviews

Which vLLM service do you need?