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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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Host Testing and evaluation

@HostEvaluate · Post #863 · 04/08/2023, 08:40 AM

#Oneprovider#OneCloud#KR#ICN Host Provider: OneCloud Location: Seoul, Republic of Korea Specification: 1vCore | 1GB RAM | 30GB SSD | 1.5TB @ 1Gbps | $8 / Mo Test IP: 223.165.5.1/24 自己试吧 机器性能给人一种大树挂辣椒的感觉。上游 Ehostict 啥都不解锁。三网 SK 延迟很低但我这没速度,估计是 UDP 会被恰,也可能存粹是太挤了。 https://paste.red/p/b7cb8bcc973b