char @lix1ngjian
Singapore Joined June 2020-
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This summer semester, we will offer a new course "Reliability in Modern Cloud Systems". Here is a short teaser for the new course! More details on the course website: cms.sic.saarland/cldrel_25/
今晚和一个朋友聊天的时候,阐述了一个我一直以来的观点…
🚀 Day 5 of #OpenSourceWeek: 3FS, Thruster for All DeepSeek Data Access Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks. ⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster ⚡ 3.66 TiB/min…
win max2 hx370应该是我最近买的最有用的电子产品,hx370确实厉害,超越桌面版5900x,接近5950x,但是设备尺寸又很小,放扶手箱正好,内存又有64g。 这种集成度放几年前想都不敢想
Wow. So why didn't you open-source it?
hi infra ppl - some updates on cs153.stanford.edu that @mabb0tt and i are teaching this quarter: 1. lots of people asked if there'll be a live stream. as of now, we don't have plans to do a live stream, but we'll record and post the lectures online (as long as each speaker…
PyCon China 2024 日程公布,下周六上海见! mp.weixin.qq.com/s/6EToqb1RnODM…
聊聊怎么快速切入一个复杂的开源项目。 github.com/yihong0618/git…
兄弟们,这个牛P Screenpipe:全天候24小时不间断记录你的屏幕和音频数据 然后利用收集的数据解答问题、帮你自动干活 它可以捕捉你所有对话、屏幕内容,无需担心错过任何细节。涵盖视频会议、聊天应用等所有活动场景。 本地运行、安全隐私 100%开源,提供免费和付费版本的桌面应用。…
A month ago, we announced our performance roadmap. Today, we are happy to share that the latest release achieves 🚀2.7x higher throughput and is 5x faster for output latency on Llama 8B, and 1.8x higher throughput and 2x faster on Llama 70B for H100s. blog.vllm.ai/2024/09/05/per…
《用 Go 语言分析 10 亿行数据,从 95 秒到 1.96 秒》 一篇很不错的 Go 语言性能优化文章,涉及知识点:文件读取性能优化、生产者消费者模型优化、channel vs mutex、自定义 hash,等等。整个调优过程层层递进,思考、用到的工具链及手法非常规范,行文也很工整。值得一读。 r2p.dev/b/2024-03-18-1…
加密货币交易所火必 #HTX (原火币网、现已被孙宇晨控制) 被发现存在多名内鬼,在用户钱包中添加后门程序窃取助记词和私钥。 而且这些内鬼还分成了两波,彼此之间互相不知道,但都在火币钱包中内置后门用来窃取用户的助记词和私钥。 查看全文:ourl.co/105172
太酷啦!⚡️推上有个老哥 @evilsocket 基于 Rust 开源了「异构集群推理方案」,可组合多台 iPhone,iPad,Macbook 组成 Tranformer 推理服务器,运行 Llama3-70B 模型 🔥 释放老旧设备算力,支持 Linux、iOS、Windows 等老旧设备组成异构集群提供分布式 LLM 推理算力😆 Github:github.com/evilsocket/cake
这个麦当劳广告创意不错,最关键是整个完成只需要一个人,AI 正在放大个人的无限潜能 创作用到了下面的工具: 图形: @midjourney @Magnific_AI 视频: @LumaLabsAI @runwayml 音频: @elevenlabsio 整合: @Adobe
Character AI is serving 20,000 QPS. Here are the technologies we use to serve hyper-efficiently. [research.character.ai/optimizing-inf… ]
AI 时代如何摸鱼? gamma.app/docs/AIGC-Dev-…

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