Jeffery Thuggington

Hey yall

[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.

[Jeffery Thuggington @JThuggington]

Requesting $ETH funds from the #Stakely Faucet on the Ethereum Holesky Testnet blockchain. Request ID: N6AHHPFW https://t.co/4Uy6ODyk7C

[Jeffery Thuggington @JThuggington]

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[Jeffery Thuggington @JThuggington]

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[Jeffery Thuggington @JThuggington]

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[Jeffery Thuggington @JThuggington]

https://t.co/qqjVX3GEzn

[io.net @ionet]

Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.

Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.

video from our community member @leeland_sol

[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.

[Jeffery Thuggington @JThuggington]

https://t.co/gGq2XA5hQ1

[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.

[io.net @ionet]

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

[Jeffery Thuggington @JThuggington]

https://t.co/ukwem9aLYh

[io.net @ionet]

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

[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.

[Jeffery Thuggington @JThuggington]

https://t.co/tpTpVadCML

[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.

[Jeffery Thuggington @JThuggington]

https://t.co/0t7WlSQ6eu

[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]

Happy genesis block day @solana

[Jeffery Thuggington @JThuggington]

https://t.co/YGw40CjBmQ

[io.net @ionet]

Happy genesis block day @solana

[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

[Jeffery Thuggington @JThuggington]

https://t.co/VdlYXkdYqO

[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