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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 #797 · 07/18/2022, 10:55 AM

#Karabro#SE Host Provider: Karabro Location: Sweden Specification: 1vCore(E5 2690) | 2GB RAM | 20GB Disk | Unlimited @ 100Mbps | $4.77 / Mo BGP Session: Yes https://paste.red/p/17b0718fcfae 匿名投稿。这么拉稀的性能现在真的是不多见了。回程联通走 cogent, 电信 amsix, 移动 telia. 看速度还是不错的样子。有大流量需求的或许可以考虑下,据称流媒体解锁不错。

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