AI Inference / Managed Model Hosting

Choose the Model.
We Run It.

Run an open, commercial or custom AI model through a managed inference service with hosted, on-premises and data-residency options.

Discuss your model See how it works

VEXXHOST / AI Hosted or on-premises

Choose a Model

Commercial

Open Source

Custom

Managed Inference Endpoint

VEXXHOST Hosted

On-Premises

Commercial, open source or custom

VEXXHOST-hosted or on-premises

Managed model endpoints

Token-based custom pricing

How the Service Works

Your Model Choice, Delivered as a Managed Service.

Choose a commercial model, an open-source model or a custom model. VEXXHOST provides the endpoint and operates the serving environment in our infrastructure or yours.

Step 1

Choose Your Model

Select a commercial model, an open-source model or a custom model based on the work you need it to perform.

Step 2

Choose Where It Runs

Deploy as a VEXXHOST-hosted service or in your own data centre.

Step 3

Use a Managed Endpoint

VEXXHOST deploys, supports and operates the model endpoint for your applications and workflows.

On-Premises Requirement

GPU Infrastructure Is Required

On-premises inference runs on the GPU infrastructure provided through the VEXXHOST GPU Infrastructure product.

Commercial Model

Token-Based Custom Pricing

Pricing is customized according to the selected model, expected token usage and deployment location.

Product Controls

Flexibility Where Customers Actually Need It.

The offer is designed to absorb change in models and infrastructure without forcing application teams to start again.

MODEL

Model Selection

Evaluate model quality and economics against the actual workload rather than a benchmark headline.

PRIVACY

Retention Controls

Zero Data Retention can be provided for eligible deployment configurations.

LOCATION

Selectable Residency

Shape processing location and infrastructure placement around jurisdictional requirements.

OPERATIONS

Managed Runtime

VEXXHOST supports the endpoint, serving path and operational lifecycle beyond the initial integration.

ECONOMICS

Usage-Shaped Pricing

Commercial terms are tailored to the selected model, volume, placement and service requirements.

PORTABILITY

Room to Change

Keep the application interface stable while models and deployment choices evolve.

From Use Case to Endpoint

Select With Evidence. Deploy With Intent.

Model choice is treated as an engineering and business decision, not a popularity contest.

Define

Describe the task, quality threshold, latency, volume, data sensitivity and application context.

Evaluate

Shortlist models and deployment paths against quality, cost, licensing and governance.

Integrate

Connect the endpoint to the workflow, application and data sources with the appropriate controls.

Operate

Observe production behaviour, manage the serving path and revisit model choice as requirements change.

The VEXXHOST AI portfolio

Infrastructure, inference and expertise. Use one or connect all three.

Explore the full AI portfolio

Infrastructure

GPU Infrastructure

You are here

AI Inference

Professional Services

AI Advisory

Put a Model Behind the Workflow

Start With the Model You Want to Run.

Bring a model name if you have one, or just the workload. We will map the endpoint, placement and commercial model around it.

Open, commercial and custom model options
Hosted, on-premises or tailored provider-backed delivery
Data handling and residency options available
Usage-based custom pricing

Direct line / Sales engineering

Design an Inference Service

Tell us about the workload, data and expected use.

Field notes / Latest

What production is teaching us.

Engineering notes from operating open infrastructure: the failures, design decisions, and upstream work that make open infrastructure better.

Browse all field notes

OpenStackAugust 13, 2026

VEXXHOST Is Heading to ALL IN 2026

Join VEXXHOST at ALL IN 2026 in Montreal! Visit Booth M30 for live demos, giveaways, and conversations about sovereign AI infrastructure and open-source cloud.

Read field note

OpenStackAugust 13, 2026

Production-Ready Private Cloud Checklist

Learn what makes a private cloud production-ready, from high availability and storage to security, observability, recovery, capacity, and operations.

Read field note

OpenStackAugust 12, 2026

Predictable and Unpredictable Workloads, and Where Each One Belongs

Elasticity is a feature you pay for. It is worth it for a viral spike, but wasted on flat baseline load. A framework for measuring your peak-to-median ratio and placing workloads where they belong.

Read field note