ENERZAi has slashed memory and power demands for AI models like Whisper using extreme 1.58-bit quantization, reducing memory usage by 4x and power consumption by 60% while doubling inference speed—all with minimal accuracy loss. Their custom QAT approach and Optimium inference engine overcome critical barriers for deploying large language models on resource-constrained edge hardware.