dondoodlez.ron

(!PUFF) (NYO)

[PUFF 💨 @PuffCoin420]

Your 4/20 Culture Coin $PUFF becoming a Superhero.

[dondoodlez.ron @DoodlezCrypto]

@gummyonsolana DRygJdnKLcpXGphsEKzxSH7U9nqdsAZgdgN3sE4NsbNd

[PFO (e/acc) @pfo_sac]

So excited to say, Space Missions are here!

It took a lot of development time to get to this stage and we are finally ready to go to space.

Puff Puff homies 🤌💨

[dondoodlez.ron @DoodlezCrypto]

https://t.co/tGRb8GcVyl

[io.net @ionet]

Nov 4 2023 to Feb 4 2024: 24K nodes on https://t.co/WLXlHkvE4z

Feb 5 2024 to Mar 17 2024: 89K nodes on https://t.co/WLXlHkvE4z

[io.net @ionet]

Nov 4 2023 to Feb 4 2024: 24K nodes on https://t.co/WLXlHkvE4z

Feb 5 2024 to Mar 17 2024: 89K nodes on https://t.co/WLXlHkvE4z

[dondoodlez.ron @DoodlezCrypto]

https://t.co/gLhoBXTDHX

[io.net @ionet]

BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.

The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.

Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.

https://t.co/uFcYdqYmHL

[io.net @ionet]

BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.

The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.

Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.

https://t.co/uFcYdqYmHL

[dondoodlez.ron @DoodlezCrypto]

https://t.co/7uL4KbTNZF

[io.net @ionet]

Happy genesis block day @solana

[io.net @ionet]

Happy genesis block day @solana

[dondoodlez.ron @DoodlezCrypto]

https://t.co/LuSadgpPR7

[io.net @ionet]

AI innovation is advancing rapidly, leading to an increased demand for computing power while simultaneously reducing GPU availability.

This daily intensifying challenge motivated the establishment of @ionet_official.

@ionet_official tackles the global shortage of GPU compute by aggregating supply from underutilized sources, including independent data centers, crypto mining farms, and consumer GPUs, boosting utilization rates to nearly 100%.

This facilitates the creation of decentralized GPU clusters across multiple locations, with @ionet_official being the sole GPU aggregator capable of doing this.

Leveraging these strategies allows for the provision of unmatched cost efficiency for low-latency, on-demand GPU compute, priced 90% lower than the competition.

[io.net @ionet]

AI innovation is advancing rapidly, leading to an increased demand for computing power while simultaneously reducing GPU availability.

This daily intensifying challenge motivated the establishment of @ionet_official.

@ionet_official tackles the global shortage of GPU compute by aggregating supply from underutilized sources, including independent data centers, crypto mining farms, and consumer GPUs, boosting utilization rates to nearly 100%.

This facilitates the creation of decentralized GPU clusters across multiple locations, with @ionet_official being the sole GPU aggregator capable of doing this.

Leveraging these strategies allows for the provision of unmatched cost efficiency for low-latency, on-demand GPU compute, priced 90% lower than the competition.

[dondoodlez.ron @DoodlezCrypto]

https://t.co/lm3vG6vBAE

[io.net @ionet]

As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.

By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.

This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors –– the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.

@ionet_official is building the internet of GPUs.

[io.net @ionet]

As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.

By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.

This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors –– the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.

@ionet_official is building the internet of GPUs.

[dondoodlez.ron @DoodlezCrypto]

https://t.co/hvkCywgXYI

[io.net @ionet]

Interested in joining the 60,000 GPU workers on https://t.co/WLXlHkvE4z 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.

[io.net @ionet]

Interested in joining the 60,000 GPU workers on https://t.co/WLXlHkvE4z 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.

[dondoodlez.ron @DoodlezCrypto]

https://t.co/huc4v07IWK

[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 https://t.co/ZuybGWvjv9.

[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 https://t.co/ZuybGWvjv9.

[dondoodlez.ron @DoodlezCrypto]

https://t.co/DFVePHM8P7

[io.net @ionet]

Community Notes: There are actually 72,495 GPU nodes on https://t.co/WLXlHkvE4z

[io.net @ionet]

Community Notes: There are actually 72,495 GPU nodes on https://t.co/WLXlHkvE4z

[dondoodlez.ron @DoodlezCrypto]

https://t.co/llqxtW5pZ6

[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.