infrastructure

DTL boasts two Digital Research Labs featuring a suite of technologies and infrastructure designed to support a wide range of research domains.

High-Performance Computing (HPC) Resources:

Powerful cloud-computing systems with partnership from Amazon Web Services (AWS) and Microsoft Azure that enable complex data processing and analysis, essential for research in areas like big data, machine learning, and computational simulations.

Data Storage and Management:

Robust data storage solutions and management systems, ensuring secure and efficient handling of large datasets, which are crucial for research activities involving extensive data analysis.

Networking Infrastructure:

Advanced networking facilities that provide high-speed connectivity and support seamless data transfer, collaboration, and access to cloud resources.

Secure Development Environments:

Secure environments for software development and testing, ensuring the safety and confidentiality of sensitive research projects.

Collaboration Spaces:

Dedicated areas designed to foster teamwork and idea exchange, facilitating collaborative projects and interdisciplinary research.

Prototyping and Testing Facilities:

Equipped with tools and equipment for developing and testing prototypes, these facilities are vital for translating concepts into practical applications.

Project Management Tools:

Comprehensive tools and software to efficiently manage and coordinate research projects, ensuring timely and organized progress.

Dedicated Cybersecurity tools:

Recognizing the growing importance of cybersecurity, the tools provide specialized environments conducive to focused research and product testing in this field.

Virtual and Augmented Reality (VR/AR) Equipment:

These immersive technologies enhance research capabilities in various fields including interactive design to simulation-based testing.

Sensors and IoT Devices:

A range of sensors and Internet of Things (IoT) devices support research in areas like smart cities, healthcare, and environmental monitoring.

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