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IO.NET旨在通过为计算资源创建一个更容易访问和高效的市场来解决GPU供应紧缩。

output: In an interview with Bitcoin.com News, Tausif Ahmed, the Chief Business Development Officer at io.net, delves into the decentralized physical infrastructure network that is transforming GPU computing.
输出:IO.NET首席业务开发官Tausif Ahmed在接受Bitcoin.com新闻采访时,深入研究了正在转换GPU计算的分散的物理基础设施网络。
As a startup founded in 2020, io.net has quickly gained recognition for its unique approach to connecting users and institutions with idle GPU instances.
作为一家成立于2020年的初创公司,IO.NET因其独特的方法将用户和机构与闲置的GPU实例联系起来而迅速获得认可。
“We are essentially creating a decentralized network of GPUs, kind of like a supercomputer in the cloud, which can be used for any application that requires a lot of computing power, like machine learning, AI, scientific computing, and rendering 3D graphics,” explained Ahmed.
“我们本质上是建立一个分散的GPU网络,就像云中的超级计算机一样,该网络可用于任何需要大量计算能力的应用程序,例如机器学习,AI,AI,科学计算和渲染3D图形,” Ahmed解释说。
The network currently has over 325,000 verified GPUs onboarded to the platform, and the team is continuously working to expand the network.
该网络目前已登上该平台的325,000多个已验证的GPU,并且团队正在不断努力扩展网络。
“We have a team of engineers who are constantly working on improving the software and hardware of the network, and we are always looking for new ways to innovate and expand the network’s capabilities,” added Ahmed.
艾哈迈德补充说:“我们有一个工程师团队,他们一直在不断地改善网络的软件和硬件,我们一直在寻找创新和扩展网络功能的新方法。”
Institutions and individuals can easily join the network and begin contributing their GPU instances. In return, they receive native tokens, which can be used to pay for goods and services within the network.
机构和个人可以轻松加入网络并开始贡献其GPU实例。作为回报,他们会收到本地令牌,可用于支付网络中的商品和服务。
“We are also working on creating a decentralized governance structure for the network, which will give users a say in how the network is run.”
“我们还致力于为网络创建分散的治理结构,这将使用户在网络的运行方式上发表意见。”
To learn more about the network visit io.net, and follow the team on X.
要了解有关网络的更多信息,请访问io.net,并关注X上的团队。
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