AI technology has reached a significant milestone with advancements in model compression and quantization, achieving up to a 10x increase in CPU inference speed and model size reduction, according to the DartQuant paper published in November 2025. These breakthroughs allow enterprise AI to scale more efficiently without substantial computational resources, maintaining minimal accuracy loss. Edge AI has also seen a speed revolution, with on-device inference now capable of processing over 100 tokens per second for prefill and up to 70 tokens per second for decoding on commercial mobile devices, based on 2024-2025 benchmarks. This development brings enterprise-level AI capabilities to mobile devices. Additionally, the synergy between hardware and software, including NVIDIA's Dynamo and TensorRT-LLM, along with neural processing units, has enabled models like Llama and Nemotron to achieve 2.1x to 3.0x faster inference speeds while reducing resource demands, as reported by NVIDIA and Red Hat in 2025.