Get more out of AI with an infrastructure that for performance is designed.
Why apply AI to your infrastructure?
Your AI deserves the right one infrastructure.
At Magna Solutions, we believe that AI is only truly valuable when you maintain control over your data. Public AI services are fast and easy, but they often send data to external environments where you have no visibility or control. For organizations that work with sensitive information, such as in healthcare, government, or business services, this is simply not an option. That's why Magna Solutions offers a secure AI service where data is deliberately selected, stored securely, and accessible only to those authorized to access it.
AI Strategy & Consultancy
From use case to implementation: we help organizations develop an AI strategy that aligns with existing processes, data, and infrastructure.
From idea to implementation
AI Infrastructure & Platforms
Design and implement a scalable infrastructure for AI workloads, including compute, GPU capacity, storage, networking, and management.
Built for future growth
AI Operations & Governance
Ensure performance, security, compliance, and management with an AI platform designed for production environments and business-critical workloads.
Safe, manageable and scalable
Complete control over your AI platform
The safe alternative for public AI
Our AI solutions run on a secure infrastructure, without automatic connections to public cloud platforms. This means your data remains yours, the resources are manageable, and the results only reach the right people. This way, you combine the power of AI with privacy, compliance, and trust. No compromises, no surprises, just an AI system that works on your terms.
What an AI platform offers
AI is not just a software issue. The success of AI is determined by the underlying infrastructure, the availability of data, and the ability to grow safely and scalably.
- Scalable GPU and compute capacity
- Fast storage for AI datasets
- High network throughput and low latency
- Integration with MLOps and data platforms
- Support for private and hybrid AI architectures
- Management, monitoring, and security of AI workloads
What is AI infrastructure used for?
AI training and model development
Train, fine-tune, and validate AI models on infrastructure designed for high performance, large datasets, and complex computations.
AI inferencing and production environments
Deploy AI models to production environments with low latency, high availability, and predictable performance.
Data platforms and analytics
Combine AI with data lakes, data warehouses, and analytics platforms for advanced analysis and decision-making.
Automation and intelligent workflows
Integrate AI into existing business processes, applications, and operational workflows to accelerate efficiency and innovation.
Our approach
By AI ambition towards a scalable AI platform
We translate business objectives, data, and AI use cases into an infrastructure designed for performance, scalability, security, and future growth.
1. AI Discovery
We inventory use cases, datasets, performance requirements, compliance, and operational objectives to determine the right AI strategy.
2. Platform architecture
We design an AI platform with the right balance between compute, GPU capacity, storage, networking, security, and scalability.
3. Implementation & Integration
We implement the infrastructure, integrate AI tools, data platforms, and workloads, and validate performance in practice.
4. Operations & Optimization
After commissioning, we provide monitoring, lifecycle management, security, capacity planning, and continuous optimization of the AI environment.
AI INFRASTRUCTURE
AI solutions are only successful when the underlying infrastructure is ready for performance, scalability and future grow.
AI workloads deliver the most value when compute, data, storage, networking, and management are designed as a single integrated platform.
Scalable AI platforms
Start with a proof-of-concept and scale up to production environments, AI platforms, or complete GPU clusters without having to redesign the infrastructure.
Data and platform integrations
Seamlessly integrate AI solutions with databases, data lakes, object storage, Kubernetes, MLOps platforms, and existing business applications.
Security & Governance
Secure AI workloads with access management, monitoring, compliance, data governance, and business continuity as the starting point.
Frequently Asked Questions
What is AI-ready infrastructure?
AI-ready infrastructure is an IT environment designed for AI workloads. It integrates compute, GPU capacity, storage, networking, security, and management to enable the scalable and reliable development and execution of AI applications.
Do I always need GPUs for AI applications?
Not every AI workload requires GPU capacity. Depending on the application, dataset size, and performance requirements, a combination of CPU, GPU, and storage resources can be the most efficient solution.
How do I determine which infrastructure is suitable for my AI project?
This depends on various factors, such as the AI use case, the amount of data, desired performance, scalability, and compliance requirements. Based on this information, we can design a suitable infrastructure.
Can AI be integrated with our existing IT environment?
Yes. AI platforms can be integrated with existing applications, databases, data lakes, Kubernetes platforms, cloud environments, and other business systems.
Can you also take care of the design and management of the AI infrastructure?
Yes. We can support the entire process: from strategy, architecture, and implementation to monitoring, security, optimization, and the operational management of the AI infrastructure.
Recommended solutions
The building blocks of a successful AI platform
Combine GPU capacity, data platforms, storage, networking, and AI tools within a single scalable and manageable infrastructure.
Managed Kubernetes
A managed Kubernetes platform with built-in monitoring, ingress, storage, and continuous platform support.
S3 Object Storage
An S3-compatible storage platform for organizations that need reliable and scalable storage for large amounts of unstructured data.
Managed Private Cloud
A managed Kubernetes platform with built-in monitoring, ingress, storage, and continuous platform support.
Dutch Cloud
Organizations are placing increasingly high demands on control, compliance, and data sovereignty. Our Dutch cloud platforms offer the scalability, security, and transparency required for business-critical applications and data.
Request no-obligation advice
Host your AI with confidence
We help you with a secure and powerful AI hosting environment.
Our Approach
Design your AI infrastructure with us
Would you like to discover how AI can add value to your organization? Our specialists would be happy to advise you on strategy, infrastructure, implementation, and management.