The IPADS Laboratory of Shanghai Jiao Tong University recently released the PowerInfer framework. This breakthrough achievement has significantly improved the operating efficiency of large language models on consumer-grade hardware. The PowerInfer framework can increase the inference speed of 80GA100 by 11 times without requiring model quantization and maintaining FP16 accuracy. This means that running large language models on personal computers is no longer a distant dream, providing strong technical support for the popularization and application of large models.
The IPADS Laboratory of Shanghai Jiao Tong University released the PowerInfer framework, which increases the speed of 80GA100 live inference by 11 times without the need for quantification. Using FP16 precision to solve the bottleneck of running large models on personal computers. PowerInfer has been warmly welcomed and provides a new solution for the application of large models on consumer-grade hardware.
The release of the PowerInfer framework solves the problem of slow running speed of large models on personal computers, marking a step towards a more convenient and extensive stage for the application of large models. Its efficiency and convenience will greatly promote the application and development of large model technology, bringing richer experiences and broader possibilities to individual users and developers.