基于近期的体验，简单聊聊DePIN和io net

MarsBit2024-04-28 tarihinde yayınlandı2024-06-11 tarihinde güncellendi

Özet

DePIN和io net是最近热门的项目，通过共享闲置的硬件/算力/技能来获得收益。io net是分布式GPU算力云，可为AI大模型提供算力。接入门槛低，只需一台本地电脑即可，推荐观看视频教程和解决文档。IO的TGE延迟，5月将有新一轮活动，有闲置显卡或M1/M2/M3芯片的MacBook用户可参与。降低门槛的方法包括设计易于接入的硬件。

基于近期的体验，简单聊聊DePIN和io net
先是一个更新，在 @ionet 遭遇安全事件后，创始人Shadid宣布已经恢复所有设备数据，并增加了Okta Auth0授权，使得数据更加安全

简单说就是在运行自己的设备之前，增加了一道安全身份验证，使得黑客无法轻易攻击

我的MacBook已经成功连接

步骤如下：
在终端重新运行命令，这次会得到一个安全代码和验证网页

打开验证网页，输入安全代码，用户身份和网络环境都没有问题后，就会验证成功

Worker 开始下载和运行，成功后终端会显示相应信息

不得不说，「安全」必须是所有项目的第一优先级
————————————————————————

然后简单聊聊 DePIN 和 io net

DePIN

DePIN = Decentralized Physical Infrastructure Network, 去中心化物理基础设施网络，简单理解其实就是「共享经济」（Uber / Airbnb），出售自己闲置的硬件/算力/技能…来换顿饭钱
最火热的时候，出现了一堆 Uber for X 项目

但 Web2「共享经济」最大的问题有 2 个：
- 平台需要花费大量成本来构建「信任」
- 平台的抽成率太高，对真正参与的个体不公平

而 DePIN or Web3「共享经济」，在这 2 方面有更优的解
- 基于区块链降低信任成本
- 基于可组合性、数据 ownership、Tokenomics等特性，一方面协议层的成本会更低，另一方面个体/社区的话语权更大，可以取得更公平的收益

DePIN 在本轮有 3 个机会点
1. 非常刚性的需求：AI 算力 / ZK 算力
2. 用户：比上一轮更多的链上用户可以作为存量启动，同时硬件设备非常适合去做新用户 onboarding
3. 大量的深圳制造，可以支撑各类智能硬件

有需求，有用户，有供应链，具体就看哪个项目方可以跑出来了

————————————————————————

io net

io net 绝对是目前最热门的 AI + DePIN 项目，简单理解就是「分布式 GPU 算力云」，集合个人的 GPU/CPU 为旺盛的 AI 大模型提供算力

根据官推 4.27 的最新数字，接入的 GPU 已经超过 55w 张，已经是这个赛道的龙头，预估 FDV 已经到了50 亿美金以上

更多详细资料可以参考 MintVentures 的这篇研报

https://research.mintventures.fund/2024/04/08/zh-a-new-solana-based-ai-depin-project-a-brief-analysis-of-upcoming-tokenlaunch-io-net…

我这里重点提一下通过 io net「共享算力」的体验，非常丝滑

DePIN 项目里，硬件的接入和用户的 onboarding 非常关键，如果硬件要求太高，或者接入过程太过麻烦，天然就会把大量用户拒之门外，特别是对技术不熟悉的小伙伴一听到「共享算力」、「跑节点」就头疼，难以撬动供给侧

这里必须赞一下io net, 只需要一台本地电脑（M1/M2/M3 芯片的 MacBook符合条件这个点非常妙），门槛非常低，10 分钟不到就可以跑起来，推荐体验

视频教程：https://youtube.com/watch?v=_Db9Ee dSqtY…

遇到Error Code 的解决文档：https://medium.com/@andreanpratam a2017/troubleshooting-workers-on-io-net-b7b0b476a5f2…

（这里面使用了命令行和第三方工具 docker, 如果后续io net可以打包成一个工具，门槛就更低了）

因为 $IO 的TGE会延迟到 4.28 之后（准确的时间会在 4.29 公布），5.1 -5.31 开始会有新一轮的活动，感兴趣的小伙伴如果有闲置的显卡或者 M1/M2/M3 芯片的 MacBook, 可以体验一下这个当下最热门的 DePIN 项目，通过共享自己的 GPU/CPU 闲置算力来获得奖励

另外一种降低门槛的方法是，自己设计出非常容易接入的硬件，比如 @cysic_xyz 的便携式 ZK 加速硬件ZK Air, @GMNetwork_AI 的智能穿戴硬件，值得关注

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