As AI-assisted coding tools continue to evolve, developers and enterprises are increasingly concerned about performance, efficiency, and scalability. One such tool gaining traction is FauxPilot, an open-source alternative designed to replicate code-generation capabilities locally. But a critical technical question arises: can FauxPilot handle scaling across multiple GPUs effectively in real-world deployment scenarios? This is especially relevant
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