Munich, Germany – In a significant move to accelerate the adoption and development of artificial intelligence, global data center provider NTT Data has officially opened a state-of-the-art AI laboratory in Munich Lohhof. The facility, inaugurated in the presence of Bavarian Digital Minister Fabian Mehring, is designed to provide businesses with a secure, scalable, and sovereign environment for testing and deploying their AI applications. This initiative underscores Germany’s commitment to fostering innovation in the AI sector and ensuring data sovereignty for its industries. The new AI lab is a testament to NTT Data’s strategic vision to support the burgeoning AI landscape. It aims to bridge the gap between theoretical AI development and practical, real-world application by offering a specialized data center infrastructure. This infrastructure is meticulously engineered for AI and high-performance computing workloads, allowing companies to experiment with their AI models and applications across diverse platforms without compromising data security or control. The lab’s opening signifies a crucial step in democratizing access to advanced AI testing environments, particularly for businesses that may lack the resources or expertise to build such capabilities in-house. The Genesis of a High-Performance AI Ecosystem The establishment of the Munich AI lab stems from a recognized need within the industry for a dedicated space where businesses can rigorously test their AI solutions. Many organizations currently develop their AI applications either internally or in the cloud, but often face limitations when it comes to simulating realistic hardware conditions. This lack of empirical testing under production-like circumstances can lead to unforeseen performance issues, security vulnerabilities, and ultimately, budget overruns and missed deadlines. The NTT Data AI lab directly addresses these challenges by providing a controlled yet flexible environment for comprehensive evaluation. The Bavarian Digital Minister, Fabian Mehring, lauded the opening as a pivotal moment for the region’s digital economy. "The opening of NTT Data’s AI laboratory in Munich Lohhof is a clear signal of Bavaria’s commitment to becoming a leading hub for artificial intelligence," stated Minister Mehring. "This facility will empower our companies to develop and test AI solutions in a secure and sovereign environment, fostering innovation and strengthening our competitiveness on the global stage. It is crucial that we provide our businesses with the tools and infrastructure necessary to harness the full potential of AI while maintaining complete control over their data." A Foundation of Flexible and Sovereign Infrastructure At the core of NTT Data’s AI laboratory offering is a robust and adaptable infrastructure designed to cater to a wide spectrum of AI needs. The facility provides access to cutting-edge hardware and software, with a strong emphasis on ensuring that clients retain full sovereignty over their data and applications. Hardware and Software Versatility: A Tailored Approach NTT Data has equipped the lab with a selection of leading AI technologies. For businesses looking to leverage powerful language models, the French-developed Mistral model with its open-weight architecture is available. This provides a flexible foundation for natural language processing and generation tasks. Complementing this is Red Hat’s OpenShift platform, a widely adopted enterprise Kubernetes platform that facilitates the deployment, scaling, and management of containerized applications, including complex AI workloads. The underlying infrastructure for these high-performance applications is provided by Dell, specifically through their AI Factory solutions. This integration ensures seamless access to optimized hardware designed for AI and machine learning. However, NTT Data understands that one size does not fit all. Therefore, clients have the flexibility to bring their own preferred environments or even set up their own racks within the facility, utilizing only the essential power and cooling services provided by NTT Data. This level of customization empowers businesses to work within their existing technology stacks and preferred vendor relationships. The lab’s connectivity options are equally versatile. Access to the AI infrastructure can be established either via the internet for convenience and broader accessibility, or through a completely isolated network connection. This latter option is particularly critical for organizations handling highly sensitive data or operating in regulated industries where stringent security protocols are paramount. The ability to completely detach from external networks ensures maximum protection against cyber threats and unauthorized access, reinforcing the commitment to data sovereignty. Advanced Processing Power: A Spectrum of Options To support diverse AI workloads, the lab offers a comprehensive range of advanced processing units. For businesses requiring top-tier performance for demanding AI tasks, NVIDIA’s Blackwell systems are available, integrated within Dell’s Pro Max Workstations. These systems are renowned for their exceptional capabilities in deep learning training and inference. For organizations with a focus on open-source projects and a desire for cost-effective yet powerful solutions, AMD’s Instinct MI355X and EPYC chips are readily accessible. These processors provide strong performance for a variety of AI and HPC workloads, fostering innovation within the open-source community. When it comes to inferencing – the process of using a trained AI model to make predictions on new data – the lab features Axelera Europe on Dell’s Pro-Slim-Plus machines. These systems are optimized for efficient and rapid inference, enabling real-time decision-making for AI-powered applications. Beyond the core processing units, the lab also incorporates a comprehensive suite of networking and storage components. This includes high-speed networking solutions to ensure rapid data transfer between compute nodes and storage, as well as advanced storage systems designed to handle the massive datasets characteristic of AI development. A key feature of the laboratory is the ability for users to swap out different hardware components during a testing phase. This dynamic flexibility allows for direct comparison of performance across various hardware configurations, enabling businesses to identify the most optimal and cost-effective setup for their specific AI applications before committing to a production environment. This iterative testing capability is invaluable for fine-tuning AI models and infrastructure. Bridging the Gap: From Development to Production The primary function of the Munich AI laboratory is to serve as a critical testing ground before AI applications are deployed into live production environments. The current development cycle often involves in-house testing or cloud-based simulations, which, as mentioned, can fall short of replicating real-world hardware demands. The NTT Data lab aims to bridge this crucial gap by providing an environment that closely mirrors production conditions. By allowing clients to evaluate performance, security, and governance under realistic hardware constraints, the lab empowers them to make informed decisions. This proactive approach to testing is instrumental in preventing the costly pitfalls that can derail AI projects, such as exceeding budget allocations and missing critical timelines. The ability to identify and rectify potential issues during the testing phase significantly de-risks the transition to production, ensuring a smoother and more successful deployment of AI solutions. Specialized Infrastructure and Comprehensive Support The physical infrastructure of the data center itself is specialized for AI and high-performance computing. This means it is equipped with the necessary high-capacity power distribution and advanced cooling systems required to support densely packed, power-hungry compute resources. These are essential considerations for any AI lab and are often a significant undertaking for individual organizations to implement. Beyond the physical infrastructure, NTT Data offers a suite of complementary services designed to support clients throughout their AI journey. This includes expert consulting services to help businesses navigate the complexities of AI development and deployment. They also provide metrics and reference architectures, offering best practices and proven frameworks for building and scaling AI solutions. Furthermore, NTT Data offers AI agents for provisioning and operation, which can automate and streamline the management of the AI lab environment. This comprehensive support ecosystem ensures that clients have access to the expertise and tools needed to maximize the value of the AI laboratory. The Sovereignty Imperative in the Age of AI The emphasis on data sovereignty throughout NTT Data’s offering is particularly relevant in the current geopolitical and regulatory landscape. As AI technologies become more integrated into critical business operations and sensitive data processing, the need for businesses to maintain control over their intellectual property and customer information is paramount. The ability to test and deploy AI applications within a sovereign environment, where data remains within defined geographic or jurisdictional boundaries, is a significant advantage. Minister Mehring’s presence at the opening ceremony highlights the Bavarian government’s recognition of this imperative. By supporting initiatives like NTT Data’s AI lab, the government is actively fostering an environment where technological advancement and data protection go hand in hand. This approach is crucial for building trust in AI technologies and ensuring their responsible adoption across industries. The AI laboratory in Munich Lohhof represents a significant investment in the future of artificial intelligence in Germany and beyond. By providing a secure, flexible, and high-performance environment, NTT Data is empowering businesses to unlock the transformative potential of AI while maintaining the critical control and sovereignty over their data. This initiative is poised to play a vital role in accelerating AI innovation and fostering a more robust and secure digital economy. Post navigation The FiberMotor: A Revolutionary Leap Towards Flexible, Integrated Robotics
