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Distributed Computing - How It Applies To Blockchain And AI

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Manage episode 358299117 series 3297850
内容由Farzan Akhtar提供。所有播客内容(包括剧集、图形和播客描述)均由 Farzan Akhtar 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Farzan discusses distributed computing and how it takes multiple computers work together to solve a large problem. This makes an entire network of computer appear as a single entity as it provides large-scale resources to enable advanced computations. In the context of blockchains, distributed computing is vital for running of the virtual machine (e.g., Ethereum Virtual Machine) which enables dapps, but also required for acheiving consensus across the network.

When applied to AI, models needs to be trained, most individuals do not have the local resources to train large model and instead rely on third-party cloud providers to enables this computations. Through distributed computing this training can be executed through the blockchains where patricipants 'rent' their spare computing power and bid for data processing jobs. Twitter - https://twitter.com/FarzanAkhtar1

Podcast - https://www.blockchainandbeyond.co.uk/

Youtube - https://www.youtube.com/channel/UCpxhLjdOdi5oiOG2nRIgsTQ/featured

  continue reading

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Artwork
icon分享
 
Manage episode 358299117 series 3297850
内容由Farzan Akhtar提供。所有播客内容(包括剧集、图形和播客描述)均由 Farzan Akhtar 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Farzan discusses distributed computing and how it takes multiple computers work together to solve a large problem. This makes an entire network of computer appear as a single entity as it provides large-scale resources to enable advanced computations. In the context of blockchains, distributed computing is vital for running of the virtual machine (e.g., Ethereum Virtual Machine) which enables dapps, but also required for acheiving consensus across the network.

When applied to AI, models needs to be trained, most individuals do not have the local resources to train large model and instead rely on third-party cloud providers to enables this computations. Through distributed computing this training can be executed through the blockchains where patricipants 'rent' their spare computing power and bid for data processing jobs. Twitter - https://twitter.com/FarzanAkhtar1

Podcast - https://www.blockchainandbeyond.co.uk/

Youtube - https://www.youtube.com/channel/UCpxhLjdOdi5oiOG2nRIgsTQ/featured

  continue reading

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