This paper introduces the Frame Field Model (FFM), a novel computational framework that describes spacetime as a discrete, pre-stressed rendering substrate. By shifting the paradigm from continuous manifolds to information-theoretic discrete frames, FFM provides a first-principles derivation of the Gravitational Constant (G) and solves the long-standing discrepancy in vacuum energy density. Key findings include: Fundamental Calibration: Using the measured 232 as electron render delay, the model calibrates three universal constants: Vacuum Tension (\tau = 0.969818), Duty Cycle Constant (\beta = 27800.50), and Gravity Exponent (\kappa = -0.211600). Gravity Derivation: FFM derives G with a relative error of < 0.0003\%, proving gravity is an emergent pressure drop in the rendering duty cycle. Experimental Signature: The model identifies a fundamental Nyquist Limit at 246.20 GeV, predicting specific cross-section anomalies and timing jitters in LHC particle collisions. This work offers a bridge between quantum information theory and general relativity, providing testable predictions for the next generation of high-energy physics experim ents.