Product
AI Cloud
Managed AI Cloud Infrastructure
Flexible cloud infrastructure for AI workloads, GPU compute and AI applications — managed around your business requirements.
AI infrastructure without the infrastructure complexity
AI applications often require more than an API or software platform. They may need GPU compute, cloud resources, networking, storage and ongoing management. AI Cloud helps businesses build and manage the infrastructure required to run AI workloads across leading cloud environments.
What can you use it for?
AI Cloud is suited to a range of practical AI workloads:
Cloud-Agnostic AI Integration
ViewRich helps businesses integrate AI across private infrastructure, cloud environments and multiple model providers. We focus on simplifying deployment, improving flexibility and helping customers maintain control over their AI workloads and data flows.
AWS
Azure
Google Cloud
Alibaba Cloud
The infrastructure behind your AI workloads
Choose the compute and infrastructure components required by your applications, from development environments to production workloads.
What's included?
A managed cloud environment designed around your requirements:
- Cloud-agnostic AI integration across private infrastructure, cloud environments and multiple model providers
- GPU infrastructure for compute-intensive workloads
- AI API integration and management
- Cloud compute, storage and networking
- Managed infrastructure and configuration
Typical use cases
Businesses commonly use AI Cloud for:
Hosting AI applications and services
Running GPU-based model inference
Building and testing AI prototypes
Integrating AI APIs into existing products
Supporting data and analytics workloads
How it works
We help you select, configure and manage the cloud environment around your workload.
Understand
Understand workloads, applications and requirements.
Design
Define an appropriate cloud and infrastructure architecture.
Deploy
Configure the required cloud, GPU and AI services.
Manage
Provide ongoing management and support.
Who is AI Cloud for?
AI Cloud is a good fit for businesses that need flexible infrastructure for AI workloads without building an internal infrastructure team.
- SMEs building AI applications
- Businesses adopting GPU workloads
- Teams integrating AI APIs
- Organisations without dedicated AI infrastructure teams
- Businesses scaling existing AI workloads
Why Managed AI Cloud?
AI infrastructure can involve multiple services, configurations and ongoing operational requirements. We provide a managed approach so your team can focus on the applications and business outcomes rather than managing every infrastructure component themselves.
Frequently asked questions
Can you work with our existing cloud account?
In many cases, yes. We can help you configure and manage infrastructure within an existing cloud account where appropriate.
Do you provide GPU infrastructure?
Yes. We can help you provision and manage GPU infrastructure for model inference, AI applications and compute-intensive workloads.
Can you support multiple cloud providers?
We can help you design and manage environments across leading cloud platforms, depending on your requirements.
Can you help us deploy AI applications?
Yes. We help businesses deploy and manage AI applications as part of their cloud environment.
Can you manage an existing AI environment?
We can help you manage an existing AI environment, including infrastructure, monitoring and support. Contact us to discuss your specific situation.
What information do you need to estimate infrastructure requirements?
We typically review your workloads, expected usage, data requirements and performance needs to recommend an appropriate infrastructure approach.
Have an AI workload in mind?
Tell us what you are building and we can help you understand the infrastructure requirements.
Discuss AI Cloud