vLLM is the inference server for production LLM workloads. Where Ollama shines for development and single users, vLLM is built for high throughput: many concurrent requests, large models and predictable response times. PagedAttention and continuous batching make this possible by using GPU memory and utilization far more efficiently.
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vLLM is the inference server for production LLM workloads. Where Ollama shines for development and single users, vLLM is built for high throughput: many concurrent requests, large models and predictable response times. PagedAttention and continuous batching make this possible by using GPU memory and utilization far more efficiently.
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.
Distributing a 100B model stably across two GPUs, running FP8 cleanly while serving 64k context and dozens of concurrent users is not a one-line Docker command. We plan GPU topology, tensor parallelism, VRAM budget, KV cache, batching and access paths to match your use case.
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 speaks the OpenAI API. Existing applications, SDKs and tools connect without rework - only the endpoint URL and API key change.
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 via VPN, SSO, internal networks or API gateways. The models run on your controlled infrastructure and sensitive data never leaves it.
Open source enterprise-ready for productive workloads - we run your applications with highest security standards and enterprise support
Open Source Software für geschäftskritische Prozesse erfordert professionelle Wartung, kontinuierliche Updates und enterprise-grade Support. Wir übernehmen Hosting und Betrieb von vLLM auf unserer DSGVO-konformen Infrastruktur in Deutschland (oder optional in Ihrer Cloud) – inklusive Backups, SLAs, Telefon-Support und persönlichem Ansprechpartner. Damit Sie sich auf Ihr Kerngeschäft konzentrieren können.
Wir bieten auch maßgeschneiderte Hosting- und Entwicklungs-Lösungen für Ihre speziellen Anforderungen rund um vLLM. Kontaktieren Sie uns für ein individuelles Angebot.
From fully managed GPU servers to compact AI Cubes - we provide the ideal infrastructure for your local LLM applications.
Powerful GPU servers with dedicated hardware for compute-intensive LLM workloads. Fully managed, scalable, and optimized for maximum performance.
Compact AI workstation for local LLM inference. Perfect for office environments, with top-tier performance and absolute data sovereignty.
Good choice - we'll help you get started or with operations.
As a Managed Service customer at WZ-IT, you have access to our exclusive portal: Monitor your infrastructure in real-time, schedule maintenance, request quotes, and get direct support - all in one central location.
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Proof for production deployments, architecture decisions and ongoing operations around modern software stacks.
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.
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Timo Wevelsiep & Robin Zins
Managing Directors of WZ-IT
