nuky 🎈

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nuky 🎈

nuky 🎈

@nuky89

nuky#4541

Katılım Mart 2012
804 Takip Edilen96 Takipçiler
nuky 🎈
nuky 🎈@nuky89·
@steveaoki Yo Legend, can you get me a ticket for tomorrow 🤣
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Steve Aoki
Steve Aoki@steveaoki·
This celebration is goated
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Runesgirl
Runesgirl@Runes_girl·
The whispers of secrets linger in the air as the Runesgirls ponder on the mystical power awaiting those who unite all nine runes. A spark of quest among rune bearers have ignited but who will unlock this great secret remains unknown Follow us to find out more Want to collab, fill the form below forms.gle/kFSawFfzcJe9B9… Together, let's unveil the magic of Runesworld!
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Sakura
Sakura@SakuraNFT_ETH·
Sakura's consciousness has been uploaded to the distributed node and her new body is under construction
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NAUXIA
NAUXIA@nauxia_btc·
epoch 10 that same question still haunts us... accident or destiny, anon?👀
GIF
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ZD12
ZD12@ZD12_X·
A tale as old as time, reborn in the blockchain, awaits. Follow. Engage. Be early 🧧 #ZD12
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Virgin League
Virgin League@virginleague·
The closer you look the more you see. Interact to get in. 🔑
GIF
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iWantCoinNews
iWantCoinNews@iWantCoinNews·
$IO | What a comeback. I have been monitoring the situation from 'X', ambassador and core-supporter discord channels and some AMA's. All I can say is: very well done guys. The community and the team both have a lot of resilience. It's not easy operating during trying circumstances like this while actually improving the project significantly. I'm impressed. I hope they can keep it up. Practical info: 1. Actual nodes that are verfied and clusterable = 13k-ish. Compare this number to similar projects. 2. New target date for TGE is in 2 weeks. 3. Regarding tokenomics: 800M total supply: --500M initial supply, -225M initial circulation, -275M initially locked. --300M emitted over 20 years as rewards for workers and stakers. (If I'm understanding correctly).
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Jayjay
Jayjay@jayjaynft4·
I am now an ambassador of @ionet and here are some informations that I can share you abou them. 🧵
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io.net
io.net@ionet·
Interested in joining the 60,000 GPU workers on io.net and building the largest AI compute DePIN in the world? Check out the installation guide from our Turkish community ambassador @okansariirmak Bring AI to the world.
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nuky 🎈@nuky89·
io.net@ionet

Gain access to hundreds of thousands of GPUs in seconds with @ionet_official. Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously –– with customization features for level of security and connection speed –– at lower prices that are 90% cheaper than traditional cloud providers. Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button. @ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at io.net.

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io.net
io.net@ionet·
Gain access to hundreds of thousands of GPUs in seconds with @ionet_official. Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously –– with customization features for level of security and connection speed –– at lower prices that are 90% cheaper than traditional cloud providers. Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button. @ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at io.net.
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io.net
io.net@ionet·
Community Notes: There are actually 72,495 GPU nodes on io.net
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nuky 🎈
nuky 🎈@nuky89·
io.net@ionet

Demand for GPU compute continues to rise, making it much more expensive to access GPUs. This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive. @ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN. This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.

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io.net
io.net@ionet·
Demand for GPU compute continues to rise, making it much more expensive to access GPUs. This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive. @ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN. This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.
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