Topic: dekube、Mining using idle GPU & CPU、Forward！ (Read 293 times)
Vision: The leading distributed AI training network
DEKUBE aspires to revolutionize the global landscape of artificial intelligence by establishing itself as the premier provider of distributed AI computing power. Our vision is to eradicate barriers to innovation, making AI accessible to all corners of society and industries. Through our cutting-edge and secure platform, we aim to empower enterprises and individuals alike, enabling them to harness the full potential of distributed AI computing seamlessly and efficiently. DEKUBE's commitment to excellence lies in creating a robust and transparent ecosystem, ensuring that users worldwide can leverage our state-of-the-art AI infrastructure to drive scientific research, technological innovation, and societal progress. In essence, we envision DEKUBE as the catalyst for a new era in AI, where accessibility, scalability, and transformative impact converge to shape the future of intelligent computing.
Challenge: The technical challenge of AI distributed training
Although the future looks promising, how to make use of these scattered AI computing power is a very difficult task. We talked to hundreds of professors and CTOs in the AI industry, and more than 99% of them were concerned about GPU-to-GPU communication. In their experience, AI training requires a very high bandwidth for communication transmission, and NvLink plus more than 100 Gbps IB network cards can meet the demand, while the speed of traditional peer-to-peer networks is very low, the communication speed between two 100 Mbps home networks is often only tens of Kbps, so this seems to be an impossible task. Another difficulty is that setting up one's computer to provide cloud computing services is a matter with a considerable technical threshold, and the vast majority of PC users do not have professional command line operation skills.
👀Dive into DEKUBE’s Token Distribution! 🌌
🔹 Total Supply: 21 billion
🔹 100% POW driven
🔹 Mainnet: 80% - powering our future innovations
🔹 Infrastructure & Testnet: 20% - with 7.5% for testnet participants & 7.5% for compute nodes to ensure robust network support
🔹 Service Nodes: 5% - ensuring top-notch service and network stability
Nodes and testnet participants play a crucial role, with a streamlined token exchange system post-TGE.
Excited? Stay tuned for more updates on token issuance details! 🔥
website：https://dekube.ai/team/MROXXE
X：https://x.com/dekube_official
dis：https://discord.com/invite/dekube
Tutorial：https://soonblog.com/post/282.html
Supported device list:：https://dekube.gitbook.io/docs/faq
DEKUBE aspires to revolutionize the global landscape of artificial intelligence by establishing itself as the premier provider of distributed AI computing power. Our vision is to eradicate barriers to innovation, making AI accessible to all corners of society and industries. Through our cutting-edge and secure platform, we aim to empower enterprises and individuals alike, enabling them to harness the full potential of distributed AI computing seamlessly and efficiently. DEKUBE's commitment to excellence lies in creating a robust and transparent ecosystem, ensuring that users worldwide can leverage our state-of-the-art AI infrastructure to drive scientific research, technological innovation, and societal progress. In essence, we envision DEKUBE as the catalyst for a new era in AI, where accessibility, scalability, and transformative impact converge to shape the future of intelligent computing.
Challenge: The technical challenge of AI distributed training
Although the future looks promising, how to make use of these scattered AI computing power is a very difficult task. We talked to hundreds of professors and CTOs in the AI industry, and more than 99% of them were concerned about GPU-to-GPU communication. In their experience, AI training requires a very high bandwidth for communication transmission, and NvLink plus more than 100 Gbps IB network cards can meet the demand, while the speed of traditional peer-to-peer networks is very low, the communication speed between two 100 Mbps home networks is often only tens of Kbps, so this seems to be an impossible task. Another difficulty is that setting up one's computer to provide cloud computing services is a matter with a considerable technical threshold, and the vast majority of PC users do not have professional command line operation skills.
👀Dive into DEKUBE’s Token Distribution! 🌌
🔹 Total Supply: 21 billion
🔹 100% POW driven
🔹 Mainnet: 80% - powering our future innovations
🔹 Infrastructure & Testnet: 20% - with 7.5% for testnet participants & 7.5% for compute nodes to ensure robust network support
🔹 Service Nodes: 5% - ensuring top-notch service and network stability
Nodes and testnet participants play a crucial role, with a streamlined token exchange system post-TGE.
Excited? Stay tuned for more updates on token issuance details! 🔥
website：https://dekube.ai/team/MROXXE
X：https://x.com/dekube_official
dis：https://discord.com/invite/dekube
Tutorial：https://soonblog.com/post/282.html
Supported device list:：https://dekube.gitbook.io/docs/faq
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