Project Overview

Eindhoven University of Technology (TU/e) required a high-performance AI Facility to support advanced research and educational needs. The goal was to develop an AI facility meeting strict quality, sustainability, and security standards.

Key Requirements

  1. Maximum Compute Power – The infrastructure had to provide the highest possible AI computing performance within budget constraints.
  2. State-of-the-Art Technology – Cutting-edge AI technologies were essential to ensure optimal performance.
  3. Sustainability – A design that minimized the environmental footprint was a key priority.
  4. Scalability – The infrastructure needed to be expandable to support future AI research needs.
  5. User-Friendliness – The AI facility had to be accessible to researchers and students with minimal technical expertise.
  6. Comprehensive Support – Extensive technical support, including helpdesk services and training, was necessary.
  7. Security – Confidential computing was required to protect sensitive data during AI training and inference.
  8. Enablement – Education initiatives, academic training, hackathons, and workshops were integral to the project’s success.

MDCS.AI’s Approach

MDCS.AI was awarded the project based on its ability to deliver a comprehensive, future-proof AI infrastructure that met TU/e’s needs. The solution included:

  1. Advanced Compute Capabilities – The infrastructure is centered around NVIDIA DGX B200 systems, leveraging the latest GPUs for AI training and inference. This architecture provides unparalleled computing power and scalability.
  2. Sustainable and Energy-Efficient Design – The AI infrastructure incorporates NVIDIA’s energy-efficient GPUs and DDN storage solutions, reducing energy consumption. The selected data center partner operates on 100% renewable energy, ensuring a minimal CO2-impact.
  3. Scalability and Future-Proofing – The infrastructure was designed for seamless expansion, allowing the integration of additional DGX B200 systems as AI research needs grow.
  4. Comprehensive Support and Training – MDCS.AI provides ongoing technical and functional support in close collaboration with NVIDIA engineers. Implementation planning, project management, and hands-on training for TU/e staff ensure effective utilization of the AI infrastructure.
  5. Robust Security Measures – The solution includes advanced security features, ensuring data encryption during processing and safeguarding against unauthorized access.
  6. Lifecycle Management (LCM) – TU/e benefits from a flexible financing model, ensuring that DGX systems remain state-of-the-art while optimizing total cost of ownership (TCO).

Key Benefits for TU/e

  1. Cost Efficiency and Transparency – By owning its AI infrastructure, TU/e gains cost predictability and avoids cloud-related expense fluctuations.
  2. Control and Ownership – The university maintains full control over its data, infrastructure, and AI initiatives, reducing reliance on third-party providers.
  3. Enhanced Performance and Predictability – The dedicated AI stack provides consistent high performance, eliminating the uncertainty associated with cloud computing.
  4. Compliance – Full ownership of the AI stack ensures that TU/e can comply with strict research data protection regulations.
  5. Customization and Flexibility – The university can tailor its AI environment to specific research projects, optimizing resources without external limitations.
  6. Higher Education Expertise – MDCS.AI understands the unique needs of academic institutions, providing solutions that facilitate cutting-edge research and education.
  7. End-to-End Solutions – From advisory and design to implementation and lifecycle management, MDCS.AI delivers a seamless AI infrastructure experience.
  8. Collaboration with NVIDIA – As an NVIDIA Elite Partner, MDCS.AI ensures access to the latest AI technologies and innovations.

By implementing MDCS.AI’s high-performance AI infrastructure, TU/e has positioned itself at the forefront of AI research and education. The solution enables groundbreaking discoveries, fosters innovation, and provides students, researchers and selected partners with world-class AI computing capabilities. This project exemplifies MDCS.AI’s commitment to delivering cutting-edge, sustainable, and secure AI infrastructure solutions tailored to the needs of a leading academic institute.

Other Deployments Across Industries

Beyond higher education, MDCS.AI has delivered AI infrastructure solutions across diverse industries, empowering organizations to achieve their AI ambitions. Our expertise covers everything from strategic advisory and implementation to full-scale AI stack deployments, including NVIDIA DGX platforms and single GPU-enabled servers for AI workloads.

Some of our key deployments include:

  • Public Sector & Government – MDCS.AI has supported central government entities in building robust AI platforms for advanced use cases such as speech-to-text processing and generative AI. Our services include consultancy, infrastructure deployment, and training to ensure seamless integration and optimal performance.
  • Enterprise AI – MDCS.AI has deployed AI Solutions that accelerate insights, improve decision-making, and enhance operational efficiency across multiple sectors.
  • Healthcare AI – Innovators in healthcare benefit from comprehensive AI Infrastructure solutions, integrating NVIDIA, DDN, and Dell components.

At MDCS.AI, we drive AI adoption and innovation across industries—from large-scale AI Factories and enterprise-grade solutions to custom AI workstations. 

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