PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework

We present PROMETEO-PRIME, a cryogenic supercomputing architecture derived from the RG-S R5+ theoretical framework. The system comprises a tensor processing core (PROMETEO-T), a persistent memory subsystem (PROMETEO-STOR), a cryogenic motherboard, and specialized data buses. The design is based on the topological hysteresis and MERA Berry phase described in the sanitized v27 of the RG-S framework. Key Features: Planar (2D) design implementing 47 layers of the MERA network through temporal and spectral multiplexing. Multi-material compatibility with Nb, NbTi, NbN, MgB₂, and FeSe, operating from 10 mK to 25 K. Robust mechanical design featuring a flexible Indium gasket with serrated geometry (relief factor 0.20) to absorb thermal contraction. Validated through numerical simulations (PyTorch, FEM, RF metrology), demonstrating -60 dB crosstalk attenuation and residual stress below yield limits. Scalable architecture supporting up to 1024 chips with a speedup of 91.18x at 99% parallel efficiency. Estimated Benefits (1 EB data center): Power consumption: 0.58 kW (vs. 90,000 kW traditional) Physical volume: 0.1 m³ (vs. 24,000 m³ traditional) Annual electricity cost: $0 (vs. $94.6 million traditional) The author is an independent researcher without access to nanofabrication or cryogenic facilities. All simulations were performed using publicly available tools (PyTorch, Google Colab, FEM analysis). The full simulation codes are available in the accompanying Colab notebook. Research centers and companies with fabrication capabilities are invited to collaborate in the experimental validation of the design. Keywords Open Science Modified Gravity, General Relativity Extension, Symmetron Field, Proca Field,MERa Berry Phase, Cryogenic Supercomputing, Tensor Processing,Persistent Memory, Superconducting Materials, PROMETEO-PRIME, RG-S R5+