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Source channel @githubtrending · Post #15428 · Jan 22

#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA

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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