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

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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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.
Large models, multiple GPUs, long contexts and concurrent requests need more than a standard deployment. We plan GPU topology, tensor parallelism, VRAM budget, KV cache, batching and access paths for the measured workload.
vLLM is licensed under Apache 2.0 - a clean, vendor-lock-in-free basis for sovereign AI infrastructure. We handle setup, configuration, documentation and, on request, ongoing operations, even when the GPU hardware sits in your data center.
PagedAttention and continuous batching deliver several times the throughput of classic setups under many concurrent requests. Ideal for internal AI assistants with many users.
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.
vLLM provides OpenAI-compatible endpoints. Applications, SDKs and API functions are tested against the selected version before compatibility is assumed.
With FP8, AWQ or GPTQ we get more model and more context out of the available VRAM - balanced for quality, response time and 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.
Monitoring, auto-restart, updates, model tests, security hardening and support turn an inference container into a resilient AI platform.
vLLM handles high-throughput model serving and forms the basis for chat, RAG, agents and internal AI APIs with many concurrent users.
We take care of GPU utilization, tensor parallelism, model changes, updates, health checks and auto-restart for stable production environments.
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.
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.
Sizing, target environment, data transfer, cutover and recovery are resolved before production operations.
SSO, secure access, internal systems and existing security components are integrated appropriately.
Updates, backups, technical monitoring and response paths follow a transparent operational scope.
APIs, automation and custom extensions can be delivered beyond basic deployment.
The exact scope depends on the application, edition, infrastructure and criticality. Vendor licences and non-standard components are quoted separately.
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.
Teams, business applications and API clients use defined interfaces and endpoints.
TLS, firewall rules, reverse proxies or private network paths are designed around the platform's exposure.
Local accounts, SSO, directories, service accounts and emergency access are connected through clear roles.
Application logic, model access, roles and approved capabilities run in a controlled environment.
Local or external models, GPU/CPU resources, routing, limits and cost controls.
Documents, databases, vector search and traceable data paths for RAG and search.
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.
A clearly defined operating scope instead of an opaque hosting flat fee.
Compute, applications, storage and response are shown separately. You can see what ongoing operations include and which requirements need a technical assessment.
We also design custom vLLM architectures, integrations and migrations. Contact us for a technical assessment.
Select a technical starting point, additional storage and the required service level. We then validate the selection against the application, load profile, integrations and target architecture.
A workload is one compute instance with the applications agreed for it.
One standard app per workload is already included. Additional dedicated servers count as separate workloads.
Indicate additional storage for data, artifacts and backups.
We also implement custom backup schedules and retention periods. For example: daily backups retained for 30 days and one monthly backup retained for 12 months. Scope, storage requirements and additional costs are agreed separately.
Standard hosting runs on a single instance without high availability. Availability for custom architectures is agreed separately.
Zero downtime on request
Distributed operation with several instances, a database cluster and rolling updates, so that a node failure causes no interruption. Only for applications suited to it; design and price after technical assessment.
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
Keep custom extensions, interfaces and dependencies controlled, updated and supportable.
from €699.90 excl. VAT / month
View serviceSecure access
Add identity-based access and private network paths as a separate operational layer.
from €349.90 excl. VAT / month
View serviceOperate confidentially
For professional secrecy holders, define contractual, access and infrastructure requirements in a dedicated operating model.
from €499.90 excl. VAT / month
View serviceThree relevant adjacent paths instead of a long list of further products.
All prices are net and exclude statutory VAT. The offers are addressed to businesses.
View the overall systemEnquiry
Briefly describe the current state and objective for vLLM. We assess infrastructure, integration, and ongoing operations.
The AI Cube covers the compact entry point. For larger models, rackmount or high concurrency, we design custom GPU systems.
Dedicated NVIDIA GPU servers in Germany including an agreed model, vLLM inference layer, Open WebUI and ongoing managed operations.
Compact NVIDIA GB10-based local AI server. Fully configured, hardened and prepared with a local model agreed in advance.
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“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 Kirchner
Managing Director, nextGYM GmbH

Whether a specific IT challenge or just an idea - we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.