Microsoft researchers have unveiled a highly efficient AI model designed to run on CPUs, including Apple's M2 chips. This innovation marks a shift towards leveraging CPUs for AI inference, traditionally dominated by GPUs due to their high energy demands and costs. Microsoft's approach aligns with the growing trend of sustainable AI development, as CPUs offer a more accessible and energy-efficient alternative. The move could democratise AI, enabling broader participation without the need for expensive, power-hungry hardware.
This CPU-centric model could disrupt the AI landscape by offering businesses and developers a cheaper, more powerful alternative. While Microsoft continues to use GPUs, this development highlights the untapped potential of CPUs in high-performance AI. The model's efficiency stems from optimising AI inference, reducing resource demands without sacrificing performance. This advancement could lead to more sustainable AI solutions at scale, enhancing accessibility and reducing the environmental impact of AI technologies. The release of this model signifies a strategic move by Microsoft to compete directly with other AI providers, potentially reshaping the AI industry.