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# JuiceFS Adopters | ||
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For users of JuiceFS: | ||
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| Company/Team | Environment | Use Cases | | ||
|:----------------------------------------------------------------------------------------|:------------|:-----------------------| | ||
| [Xiaomi](https://www.mi.com) | Production | AI | | ||
| [Li Auto Inc.](https://www.lixiang.com) | Production | Big Data, AI | | ||
| [Shopee](https://shopee.com) | Production | Big Data | | ||
| [Zhihu](https://www.zhihu.com) | Production | Big Data | | ||
| [Yaoxin Financing Re-Guarantee](https://www.yaoxinhd.com) | Production | Big Data, File Sharing | | ||
| [Megvii](https://megvii.com) | Production | AI | | ||
| [Piesat Information Technology Co., Ltd.](https://www.piesat.cn) | Production | File Sharing | | ||
| [Gene Way](http://www.geneway.cn) | Production | File Sharing | | ||
| [SAIC Motor](https://www.saicmotor.com/english/index.shtml) | Production | AI | | ||
| [National Supercomputing Center in JiNan](https://www.nsccjn.cn/) | Production | DevOps | | ||
| [UniSound](https://www.unisound.com) | Production | AI | | ||
| [NetEase Games](http://www.neteasegames.com) | Production | Big Data, File Sharing | | ||
| [Yimian](https://www.yimian.io) | Production | Big Data | | ||
| [Trip.com](https://us.trip.com/) | Production | Big Data, File Sharing | | ||
| [vivo](https://www.vivo.com) | Production | AI, File Sharing | | ||
| [Horizon Robotics](https://horizon.ai) | Production | AI | | ||
| [SenseTime](https://www.sensetime.com/en) | Production | File Sharing | | ||
| [DP Technology](https://www.dp.tech) | Production | File Sharing | | ||
| [Joyient](http://www.joyient.com) | Prodcution | File Sharing, 3D Rendering | | ||
| [DJI](https://www.dji.com/) | Production | AI | | ||
| [ChinaMobile Cloud](https://ecloud.he.chinamobile.com/) | Testing | Big Data | | ||
| [Volcano Engine](https://www.volcengine.com) | Testing | File Sharing | | ||
| [Dingdong Fresh](https://www.100.me) | Testing | Big Data | | ||
| [SF-Express](https://www.sf-express.com) | Testing | Big Data, File Sharing | | ||
| [BIGO](https://bigo.tv) | Testing | AI | | ||
| [Inner Mongolia MENGSHANG Consumer Finance Co., Ltd.](https://www.mengshangxiaofei.com) | Testing | File Sharing | | ||
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For the JuiceFS community ecosystem: | ||
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- [Megvii](https://en.megvii.com) team contributed [Python SDK](https://github.com/megvii-research/juicefs-python). | ||
- [PaddlePaddle](https://github.com/paddlepaddle/paddle) team has integrated JuiceFS into [Paddle Operator](https://github.com/PaddleFlow/paddle-operator), please refer to [the document](https://github.com/PaddleFlow/paddle-operator/blob/sampleset/docs/en/ext-overview.md). | ||
- Build a distributed [Milvus](https://milvus.io) cluster based on JuiceFS, the Milvus team wrote a [case sharing](https://zilliz.com/blog/building-a-milvus-cluster-based-on-juicefs) and [tutorial](https://tutorials.milvus.io/en-juicefs/index.html?index=..%2F..index#0). | ||
- [Apache Kylin 4.0](http://kylin.apache.org) that is a OLAP engine could deploy with the JuiceFS in dissaggregated storage and compute architecture on every public cloud platform, there is [the video sharing](https://www.bilibili.com/video/BV1c54y1W72S) (in Chinese) and [the post](https://juicefs.com/blog/en/posts/optimize-kylin-on-juicefs/) for this use case. | ||
- [UniSound](https://www.unisound.com) team participated in the development of [Fluid](https://github.com/fluid-cloudnative/fluid) JuiceFSRuntime cache engine, please refer to [this document](https://github.com/fluid-cloudnative/fluid/blob/master/docs/en/samples/juicefs_runtime.md). | ||
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You are welcome to share your experience after using JuiceFS, either by submitting a Pull Request directly to this list, or by contacting us at [email protected]. | ||
Please visit [JuiceFS Official Documentation](https://juicefs.com/docs/community/adopters) for details. |
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# JuiceFS 使用者 | ||
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使用 JuiceFS 的用户: | ||
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| 公司/团队 | 使用环境 | 用例 | | ||
|:-------------------------------------------------|:-----------|:------------------------------------------------------------------------------------| | ||
| [小米](https://www.mi.com) | Production | AI | | ||
| [理想汽车](https://www.lixiang.com) | Production | 大数据,AI([案例](https://juicefs.com/blog/cn/posts/li-auto-with-juicefs/)) | | ||
| [Shopee](https://shopee.com) | Production | 大数据([案例](https://juicefs.com/blog/cn/posts/shopee-clickhouse-with-juicefs/)) | | ||
| [知乎](https://www.zhihu.com) | Production | 大数据([案例](https://juicefs.com/blog/cn/posts/zhihu-flink-with-juicefs/)) | | ||
| [尧信](https://www.yaoxinhd.com) | Production | 大数据,共享文件存储 | | ||
| [旷视](https://megvii.com) | Production | AI | | ||
| [航天宏图](https://www.piesat.cn) | Production | 共享文件存储 | | ||
| [溯源精微](http://www.geneway.cn) | Production | 共享文件存储 | | ||
| [上汽集团](https://www.saicmotor.com/chinese/) | Production | AI([案例](https://mp.weixin.qq.com/s/qxOvEmNmoLHhL3ICpX_Drg)) | | ||
| [国家超级计算济南中心](https://www.nsccjn.cn/) | Production | DevOps | | ||
| [云知声](https://www.unisound.com) | Production | AI | | ||
| [网易游戏](https://game.163.com) | Production | 大数据,共享文件存储 | | ||
| [一面数据](https://www.yimian.com.cn) | Production | 大数据 | | ||
| [携程旅行](https://www.ctrip.com) | Production | 大数据,共享文件存储 | | ||
| [vivo](https://www.vivo.com) | Production | AI, 共享文件存储 | | ||
| [地平线](https://horizon.ai) | Production | AI | | ||
| [商汤科技](https://www.sensetime.com/cn) | Production | 共享文件存储 | | ||
| [深势科技](https://www.dp.tech) | Production | 共享文件存储 | | ||
| [嘉谊互娱](http://www.joyient.com) | Prodcution | 共享文件存储, 渲染 | | ||
| [DJI 大疆创新](https://www.dji.com/cn) | Production | AI | | ||
| [移动云](https://ecloud.he.chinamobile.com/) | Testing | 大数据([案例](https://juicefs.com/blog/cn/posts/juicefs-support-hbase-at-chinamobile-cloud/)) | | ||
| [火山引擎](https://www.volcengine.com) | Testing | 共享文件存储 | | ||
| [叮咚买菜](https://www.100.me) | Testing | 大数据 | | ||
| [顺丰速运](https://www.sf-express.com) | Testing | 大数据,共享文件存储 | | ||
| [BIGO](https://bigo.tv) | Testing | AI | | ||
| [蒙商消费金融](https://www.mengshangxiaofei.com) | Testing | 共享文件存储 | | ||
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此外在社区生态方面, | ||
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- [旷视科技](https://megvii.com)团队贡献了 [Python SDK](https://github.com/megvii-research/juicefs-python)。 | ||
- [PaddlePaddle](https://github.com/paddlepaddle/paddle) 团队已将 JuiceFS 缓存加速特性集成到 [Paddle Operator](https://github.com/PaddleFlow/paddle-operator) 中,具体请参考[文档](https://github.com/PaddleFlow/paddle-operator/blob/sampleset/docs/zh_CN/ext-overview.md)。 | ||
- 通过 JuiceFS 可以轻松搭建一个 [Milvus](https://milvus.io) 向量搜索引擎,Milvus 团队已经撰写了官方 [案例](https://zilliz.com/blog/building-a-milvus-cluster-based-on-juicefs) 与 [教程](https://tutorials.milvus.io/en-juicefs/index.html?index=..%2F..index#0)。 | ||
- 大数据 OLAP 分析引擎 [Apache Kylin 4.0](http://kylin.apache.org) 可以使用 JuiceFS 在所有公有云上轻松部署存储计算分离架构的集群,请看 [视频分享](https://www.bilibili.com/video/BV1c54y1W72S) 和 [案例文章](https://juicefs.com/blog/cn/posts/optimize-kylin-on-juicefs/)。 | ||
- [云知声](https://www.unisound.com) 团队参与开发 [Fluid](https://github.com/fluid-cloudnative/fluid) JuiceFSRuntime 缓存引擎,具体请参考[文档](https://github.com/fluid-cloudnative/fluid/blob/master/docs/zh/samples/juicefs_runtime.md) 。 | ||
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欢迎你在使用 JuiceFS 后,向大家分享你的使用经验,可以直接向这个列表提交 Pull Request,或者联系我们 [email protected]。 | ||
请访问 [JuiceFS 官方文档](https://juicefs.com/docs/zh/community/adopters)了解详情。 |
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