Directorate-General for Public Works and Water Management (RWS)

Challenge: Supporting advanced AI use cases like speech-to-text while preparing for future hybrid AI initiatives.

Solution: MDCS.AI implemented an NVIDIA DGX platform integrated with NVIDIA AI Enterprise. The project included consultancy and technical support to ensure seamless integration and scalability.

Result: The AI infrastructure strengthened speech-to-text capabilities and prepared the organization for future AI demands with a secure and scalable framework.

Central Government

Challenge: Need for a powerful AI platform to handle complex workloads and accelerate insights.

Solution: Partnering with MDCS.AI, customer deployed a DGX platform with NVIDIA AI Enterprise.

Result: The new system enables to tackle demanding AI tasks efficiently, delivering faster insights and enhancing its ability to manage public infrastructure.

Technical University Eindhoven (TU/e) – Deployment Q1 2025

Challenge: TU/e wants a state-of-the-art AI facility to empower researchers and students while aligning with sustainability goals.

Solution: MDCS.AI won the European tender to deliver an NVIDIA BasePOD DGX platform, featuring DGX B200 systems, DDN storage in a sustanaiable data centre of Borealis in Kajaani (Finland). The comprehensive solution includes lifecycle management, proactive maintenance, and functional support.

Result: The platform accelerates research capabilities, supports advanced AI applications, and upholds TU/e’s commitment to innovation and environmental responsibility.

Leading European Organization

Challenge: Transforming data processing capabilities for advanced AI training models.

Solution: MDCS.AI deployed NVIDIA DGX systems optimized for high-performance training jobs, with continuous monitoring and support to ensure reliability.

Result: The organization significantly enhanced its capacity to train large datasets, achieving faster insights and improved operational efficiency.

Juvoly: Speech-to-Text Innovator – Deployment Q1 2025

Challenge: Juvoly needed a robust AI infrastructure to enhance its speech-to-text solutions for the Dutch healthcare sector.

Solution: MDCS.AI designed a tailored NVIDIA B200 BasePOD platform, combined with DDN storage and Dell networking, optimised for Juvoly’s unique requirements. The project includes full implementation and integration support.

Result: The infrastructure empowers Juvoly’s AI-driven applications, improving operational efficiency and enhancing its healthcare solutions.