Private by design
Keep your models and connected data within an environment designed around your organisation’s access and security requirements.
Managed private AI
Private AI.
Built around
your business.
Run AI on your own data, in your own private environment. Dedicated infrastructure, deployed and managed by Hyve.
- Control over your data
Your models and documents stay in an environment you govern, with access and hosting location decided by you.
- Dedicated AI infrastructure
Compute, GPU, storage and networking are sized for your workloads and kept separate from other customers.
- Expert management
Hyve designs, deploys and looks after the platform, so your team can focus on their workloads.
AI on your terms
Put AI to work. Keep control of your data.
Make your organisation’s knowledge more useful without handing control of your infrastructure to a public AI service.
Hyve helps you build a private environment for AI assistants, document search and business applications. Run suitable open-source models alongside your data, with infrastructure shaped around your security, performance and hosting requirements.
You focus on what AI can do for your business. We manage the platform behind it.
Built for your workloads
Match compute, GPU, storage and networking to the models you want to run and the people who will use them.
Sovereign AI hosting
Host your platform in any of our 35+ global locations, in an environment that meets your security, compliance, and data sovereignty requirements.
One private cloud
One private cloud that does everything.
Private AI runs on the same dedicated Hyve cloud as the rest of your estate, so data, access and operations stay in one place.
One platform
Private cloud
Remote desktops
Desktops for the people who use the platform.
Virtual machines
Compute for the systems you already run.
Containers
Services that sit alongside those systems.
Applications
Business software on the same private network.
AI agents
Agents that work with approved tools and data.
Private LLMs
Models that stay inside your environment.
Object storage
Files and datasets kept with the workloads that use them.
Practical uses for private AI
How can managed Private AI from Hyve work for you?
Our bespoke Private AI environments can solve your business problems, supporting a range of use cases, including:
Ask your company knowledge
Help teams find answers across approved policies, manuals and internal documentation, with links back to source material.
Work through documents faster
Support summarisation, comparison and information extraction across reports, contracts and other business documents.
Support your support team
Give staff a faster way to search technical documentation, find relevant guidance and draft responses for review.
Create an internal AI assistant
Provide employees with a private environment for drafting, summarising and exploring ideas using approved models.
Assist software development
Run suitable coding models within a controlled environment to support code explanation, documentation and development workflows.
Connect AI to your applications
Make model capabilities available to internal tools and business applications through controlled integrations and APIs.
AI that can use your business knowledge
Why use Retrieval-Augmented Generation?
A general-purpose model does not automatically know your organisation. Retrieval-augmented generation, or RAG, can connect it to approved information without retraining the model on every document.
When someone asks a question, the application retrieves relevant material and gives it to the model as context. The response can include references so users can check the source.
Connect approved documents and knowledge sources.
Apply access controls during retrieval.
Refresh source information as your business changes.
Include references to support verification.
Illustrative example
Potential customer
What is our process for onboarding a new customer?
sales team
Our onboarding guide covers discovery, environment design, deployment and handover.
Onboarding guide
Deployment checklist
Support handbook
Relevant company knowledge is surfaced instantly so sales can answer with confidence.
Choose the right AI infrastructure for your needs
The right setup depends on your model, data volumes, response-time requirements and expected usage. We help you scope the infrastructure around those needs.
Private AI
A dedicated environment for AI on your own data, with infrastructure sized to the workload.
- Dedicated compute and GPU capacity.
- Your data stays in a private environment.
- Private networking and controlled access.
- Storage sized around your data.
Multi-tenant AI
AI on our multi-tenant platform, with logical isolation between workloads and capacity that scales with usage.
- Isolated workloads on shared infrastructure.
- Capacity planned around concurrent usage.
- Expert management from Hyve engineers.
- A flexible alternative to a private build.
AI on Azure
Run AI on Microsoft Azure, designed and managed by Hyve’s certified engineers.
- Azure services matched to the workload.
- Security and access aligned to your policies.
- Cost and capacity kept under review.
- Ongoing management from Hyve.
Managed by Hyve
Why choose Hyve for Managed Private AI?
AI adds new demands to compute, storage and networking. Our team designs your bespoke platform and provides expert management to ensure it is supported, maintained and scaled.
Architecture and sizing
Plan capacity around model size, usage patterns, data volumes and performance requirements.
Platform deployment
Configure the agreed compute, storage, networking and supporting platform components.
Security and access
Design network boundaries and administrative access around your organisation’s requirements.
Monitoring and maintenance
Agree monitoring, patching and operational responsibilities for the managed environment.
Backup and recovery
Define protection and recovery requirements for the data and services that need them.
Capacity planning
Review utilisation and plan changes as workloads and adoption develop.
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