The paper presents a scalable, high-fidelity all-electronic control architecture for trapped-ion qubits, addressing the central challenge of implementing quantum gates at scale. The architecture uses shared current-carrying traces and local tuning electrodes in a microfabricated chip to perform quantum gates with low noise and crosstalk, regardless of device size. Experimental demonstrations include low-noise site-selective single- and two-qubit gates in a seven-zone ion trap, achieving 99.99916(7)% fidelity for single-qubit gates and 99.971(1)% fidelity for two-qubit maximally entangled states. These results validate the approach for scaling to large-scale quantum computers based on electronically controlled trapped-ion qubits. The architecture combines laser-free gates with local electric-field tuning, leveraging chip-integrated electronics for efficient power and I/O use. The method does not require new dedicated structures and can be integrated with established microfabrication processes, making it a promising path for high-performance, integrated, large-scale quantum computing.The paper presents a scalable, high-fidelity all-electronic control architecture for trapped-ion qubits, addressing the central challenge of implementing quantum gates at scale. The architecture uses shared current-carrying traces and local tuning electrodes in a microfabricated chip to perform quantum gates with low noise and crosstalk, regardless of device size. Experimental demonstrations include low-noise site-selective single- and two-qubit gates in a seven-zone ion trap, achieving 99.99916(7)% fidelity for single-qubit gates and 99.971(1)% fidelity for two-qubit maximally entangled states. These results validate the approach for scaling to large-scale quantum computers based on electronically controlled trapped-ion qubits. The architecture combines laser-free gates with local electric-field tuning, leveraging chip-integrated electronics for efficient power and I/O use. The method does not require new dedicated structures and can be integrated with established microfabrication processes, making it a promising path for high-performance, integrated, large-scale quantum computing.