Next-Generation Hybrid Infrastructure:
Imagine bypassing the inherent limitations of discrete digital approximation. Instead of translating complex systems into binary code, envision a computational layer that leverages continuous signals to mirror the fundamental laws of physics. This is REDAC. By executing the mathematical foundations of modern engineering—ODEs and PDEs—directly in analog hardware, REDAC eliminates the "abstraction tax" of traditional binary logic. It represents a move toward a more efficient, native way of processing the world’s most demanding mathematical challenges.
Techbrief REDAC
A brief description of the Redac System
DownloadREDAC is engineered as a modular expansion for high-performance data centers, providing a specialized hardware layer designed to handle massive computational loads that challenge traditional CPU/GPU environments. By integrating a reconfigurable analog-computational core into a professional, remote-access infrastructure, the system enables data centers to process complex, high-dimensional workloads with greater efficiency. This makes it an essential asset for advanced hybrid infrastructures where scalability and high-throughput processing are paramount.
Developed by anabrid for the DLR Quantum Computing Initiative (DLR QCI) and supported by the Federal Ministry for Economic Affairs and Climate Action, REDAC serves as a professional-grade resource for data center operators and industrial stakeholders deploying unconventional architectures at scale. Its modular design allows for seamless integration into existing professional IT stacks, bridging the gap between standard digital processing and specialized analog acceleration. The platform provides a robust, future-proof foundation for organizations looking to lead in the development of sophisticated, large-scale technical solutions.
REDAC provides modular, energy-efficient analog hardware for applications ranging from neuromorphic AI to quantum circuits and satellite control.
Dr. Lucas Wetzel, CSO at anabrid
REDAC's scalable and modular architecture allows researchers to tailor the system to their specific needs, growing its capabilities as their research evolves. Furthermore, remote programmability makes it accessible to researchers and industries around the globe, fostering collaboration and accelerating scientific discovery within R&D projects.
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