vLLM Competence Center Switzerland

Deploy, scale, and operate high-throughput LLM inference with vLLM on Swiss cloud infrastructure. VSHN combines deep Kubernetes expertise with platform engineering to run your vLLM workloads on APPUiO, OpenShift, enterprise private cloud, or sovereign cloud infrastructure — reliably, securely, and with full Swiss data residency.

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PagedAttention Memory Management

Leverage vLLM's PagedAttention technology for optimal GPU memory utilisation during inference. VSHN deploys and tunes vLLM on Kubernetes so your models achieve up to 24x higher throughput compared to naive serving approaches, reducing infrastructure costs while serving more concurrent requests on the same GPU hardware.

OpenAI-Compatible API Gateway

Serve open-source models like Llama, Mistral, and Falcon through vLLM's OpenAI-compatible API endpoint. VSHN configures production-grade API gateways with authentication, rate limiting, and load balancing so your applications can switch between model providers without code changes — all hosted on Swiss infrastructure.

GPU Scheduling and Orchestration

Run vLLM inference workloads with optimised GPU scheduling on Kubernetes and OpenShift. VSHN configures NVIDIA device plugins, resource quotas, and pod priority classes so your inference pods get the GPU time they need while batch training jobs run on preemptible resources to optimise cost.

Model Serving at Scale

Scale vLLM deployments horizontally across multiple GPU nodes with automated replica management. VSHN engineers horizontal pod autoscaling based on request queue depth and latency targets, continuous batching configuration, and tensor parallelism across GPUs for large models that exceed single-GPU memory.

Swiss Data Residency

LLM inference, model weights, and request logs stay in Swiss data centres. VSHN operates on Exoscale, cloudscale.ch, and other Swiss cloud providers, ensuring full GDPR compliance and data residency for organisations that cannot afford to send sensitive prompts and completions to hyperscaler regions outside Switzerland.

Observability and Performance Tuning

Monitor vLLM inference latency, throughput, token generation rates, and GPU utilisation across your entire serving fleet. VSHN integrates Prometheus, Grafana, and custom dashboards into your platform so you always know what your models cost to run, where bottlenecks are, and when to scale up or down.

Frequently Asked Questions

What platforms does VSHN support for vLLM workloads?
VSHN deploys and operates vLLM workloads on APPUiO (our managed Kubernetes platform), Red Hat OpenShift, enterprise private cloud infrastructure, and sovereign cloud partners. All platforms run on Swiss or European data centres and are backed by our 99.9% uptime SLA. We help you choose the right platform based on your compliance, performance, and budget requirements.
Which cloud providers are available for vLLM hosting?
VSHN operates on multiple Swiss cloud providers including Exoscale and cloudscale.ch, as well as European sovereign cloud partners. For organisations that need GPU-accelerated workloads, we work with providers offering GPU instances in Swiss data centres on public and private cloud. All infrastructure is managed under a single SLA with 24/7 support from our operations team.
How does vLLM improve inference performance?
vLLM uses PagedAttention to manage GPU memory efficiently, achieving up to 24x higher throughput than naive HuggingFace serving. It supports continuous batching, tensor parallelism, and speculative decoding. VSHN tunes these parameters for your specific models and hardware on Kubernetes, ensuring optimal tokens-per-second rates while keeping latency within your target thresholds.
What is the pricing model for managed vLLM infrastructure?
Pricing depends on your platform choice and resource requirements. A typical starting point for a managed Kubernetes namespace with GPU access begins at CHF 2,500 per month, including 24/7 operations, monitoring, and backup. Storage for model artefacts and logs is billed separately starting at CHF 0.09 per GB per month. Contact us for a tailored quote based on your workload profile.
Which models can I serve with vLLM?
vLLM supports a wide range of open-source models including Llama, Mistral, Falcon, Qwen, and many more transformer-based architectures. VSHN provides Kubernetes-native serving infrastructure with automated model loading, health checks, and rolling updates. We help you select and optimise models for your use case while ensuring all inference stays within Swiss data centres.
How does VSHN ensure data sovereignty for vLLM workloads?
All infrastructure runs in Swiss data centres operated by Swiss or European sovereign cloud providers. Model weights, input prompts, generated completions, and inference logs never leave the chosen jurisdiction. As a VSHN Swiss Select Partner, we guarantee that all operational access is from Switzerland-based engineers, and we provide audit trails for compliance reporting.
Can VSHN integrate vLLM with existing AI pipelines?
Yes. vLLM exposes an OpenAI-compatible API, so existing applications using OpenAI client libraries can switch to self-hosted models without code changes. VSHN also integrates vLLM with LiteLLM gateways, retrieval-augmented generation pipelines, and managed PostgreSQL with pgvector for vector storage — with up to 720 GB of backup storage and the same 99.9% SLA as all our managed services.
What monitoring and observability does VSHN provide for vLLM?
VSHN integrates Prometheus and Grafana into every managed platform, with custom dashboards for vLLM-specific metrics: inference latency (p50, p95, p99), tokens per second, GPU utilisation, queue depth, and estimated cost per request. Alerting rules notify your team and our 24/7 operations centre when metrics breach thresholds, so performance issues are caught before they affect users.
How do I get started with VSHN's vLLM services?
Contact us through the form below or email info@vshn.ch for an initial consultation. We assess your current model serving needs, platform requirements, and compliance constraints, then propose an architecture running on APPUiO, OpenShift, or your preferred infrastructure. Most customers go from initial consultation to a running production platform in four to six weeks.

Get in touch

Ready to run high-throughput LLM inference on Swiss infrastructure? Contact VSHN for a free initial consultation. We assess your requirements and propose a platform architecture tailored to your models, compliance needs, and budget.