Pricing for Sovereign AI Infrastructure, Compute and Inference

Choose Your Entry Point

Whether you already own hardware, need immediate GPU capacity, want API-based inference, or prefer a finished user application, Tonomia offers a commercial model that fits.

Bring Your Own Hardware into TonoForge™

Deploy your own servers inside a sovereign, high-density AI environment designed for speed, efficiency and operational simplicity.

TonoForge™ enables enterprises, telecom operators, AI labs and cloud providers to host compute infrastructure without the cost, delay and complexity of conventional AI facility development. Instead of building from scratch, you can deploy into a ready commercial framework that includes power, cooling, networking and operational support.

What is included

• Power capacity priced per kW per month
• High-density cooling environment
• High-speed network connectivity
• Rack deployment and integration support
• 24/7 NOC and SOC operations
• EU hosting and sovereignty options
• Renewable-energy integration where available

Commercial options

Single Rack

For initial deployments, pilot projects and smaller production environments.

Multi-Rack Deployment

For organisations scaling dedicated compute capacity across multiple racks.

Dedicated TonoForge Pod

For strategic customers requiring a larger, more private and more structured deployment environment.

Why choose this model

This model is ideal for organisations that want to retain control over their hardware strategy while accelerating time to deployment. It combines infrastructure readiness with operational support, making it easier to move from procurement to production.

Planning future capacity? Submit a non-binding LOI to indicate expected rack count, power needs, preferred region and target deployment timeline.

Rent GPU Capacity On Demand

Access advanced AI compute without waiting for procurement, installation or facility build-out.

Tonomia’s GPU-as-a-Service offering is designed for startups, enterprise AI teams, research organisations and platform builders that need immediate access to high-performance GPU infrastructure. Whether your workload is inference, fine-tuning, training or HPC, our model gives you a fast path to usable compute capacity on sovereign infrastructure.

How pricing works

Choose your GPU platform

Select the compute architecture best aligned with your workload, performance objectives and deployment profile.

Choose your commercial model

• Hourly burst capacity
• Monthly reserved capacity
• Yearly committed capacity

Choose your workload type

• Inference
• Fine-tuning
• Training
• HPC / simulation

Review your estimated monthly cost

Your estimate can include:

• compute capacity
• orchestration layer
• support level
• deployment region
• indicative commercial comparison versus conventional alternatives

Why choose this model

GPU-as-a-Service is the fastest way to turn demand into active AI compute. It removes infrastructure friction while giving teams flexibility in scale, duration and usage model.

Use a non-binding LOI to signal expected GPU demand, preferred start date, workload type and commercial model.

Consume Sovereign AI Inference by Token

Build AI products and internal AI services without operating the underlying model-serving infrastructure.

Tonomia’s Inference API is designed for software vendors, enterprise AI teams and regulated organisations that need predictable access to AI inference through a managed, sovereign and scalable environment. It provides a practical way to consume AI capacity by token while preserving flexibility in model strategy, deployment architecture and data residency.

Best suited for

• SaaS platforms
• document AI applications
• RAG systems
• multilingual assistants
• internal enterprise copilots
• sector-specific AI solutions
• sovereign and regulated deployments

What pricing can be based on

• estimated monthly token volume
• monthly or annual commitment
• model family or routed model access
• workload or sector profile
• support and deployment requirements

What is included

• managed model access
• inference API layer
• routing and orchestration support
• enterprise-grade hosting options
• auditability features
• versioned deployment support
• EU residency options where required

Why choose this model

This is the most efficient option for organisations that want to focus on building products, workflows or services rather than operating GPU clusters and model-serving stacks themselves.

A non-binding LOI can define projected token volumes, integration timing, data residency expectations and enterprise support requirements.

Applications Powered by TonoFabric™

Need a finished user-facing solution rather than infrastructure or APIs?

Tonomia also offers ready-to-deploy software applications powered by the same sovereign compute stack. These applications are designed for organisations that want practical business outcomes without having to build their own AI product layer.

From internal assistants to document intelligence and multilingual workflows, TonoFabric™ enables applications that are aligned with the same core principles as the rest of the platform: sovereignty, operational efficiency and scalable deployment.

Toomi™ for Teams

A multilingual AI assistant built for organisations that need secure, practical and scalable AI for everyday work.

Toomi™ is designed for teams that want immediate value from AI across chat, document interaction, language tasks and knowledge workflows. It runs on Tonomia’s infrastructure stack, making it a strong option for organisations that want both usability and infrastructure alignment.

Typical capabilities

• AI chat for everyday productivity
• document Q&A
• multilingual assistance
• transcription support
• image understanding
• team usage controls
• enterprise customisation
• optional knowledge grounding

Available plans

Toomi Pro

For teams looking for essential AI assistance across everyday business use cases.

Toomi Pro+

For organisations needing broader capabilities, stronger controls and more advanced deployment options.

Why choose this model

Toomi™ is ideal for organisations that want a finished application instead of infrastructure procurement or API integration. It provides a fast route to adoption while remaining connected to a sovereign AI backbone.

For large enterprise deployments, Tonomia can support structured commercial discussions, including a non-binding LOI process where relevant.

Why Tonomia Delivers More AI Capacity per Euro

Tonomia combines infrastructure design, deployment speed, compute density and integrated operations into one commercial stack.

Lower infrastructure cost base

TonoForge™ is designed to reduce the time, complexity and overhead associated with conventional AI facility development. This helps organisations access capacity faster and with a more efficient infrastructure model.

Higher compute density

Modern GPU platforms and compact deployment architecture support higher usable AI capacity within a focused footprint.

Energy-aware design

Tonomia’s infrastructure model is built for efficient operation, flexible deployment and renewable-energy integration where available.

Integrated operations

Infrastructure, orchestration and commercial monetisation are aligned in one model rather than fragmented across multiple providers. This simplifies deployment and improves operational continuity.

Reserve Capacity with a Non-Binding Letter of Intent

Planning a deployment but not ready for a final contract?

Tonomia offers a simple non-binding Letter of Intent process that allows customers to formalise commercial interest without creating a purchase obligation. It is a practical way to move from exploratory discussion to structured planning while keeping full flexibility for later technical, commercial and legal review.

Why submit an LOI

• indicate expected demand
• define preferred service model
• align on timing and deployment scope
• support internal procurement or board review
• help prioritise sizing and deployment planning

Typical use cases

• future rack hosting
• GPU reservation planning
• inference demand forecasting
• sovereign deployment preparation
• enterprise rollout discussions

What the LOI can include

• company name and contact details
• service of interest
• preferred region and sovereignty requirements
• estimated start date
• expected monthly budget
• target capacity or usage profile
• intended deployment duration
• technical or commercial notes

Important note

Unless expressly stated otherwise in definitive signed agreements, the Letter of Intent is non-binding and intended only to support evaluation, planning and commercial discussion.

Choose the Commercial Model That Fits Your Need