addson

⏳

[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.

[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]

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]

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]

Happy genesis block day @solana

[io.net @ionet]

The AI compute DePIN space is just getting started.

https://t.co/WLXlHkvE4z is building the largest AI compute DePIN in the world and giving builders the power to create super clusters from tens of thousands of distributed GPUs.

Let's bring AI to the world.

[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]

In just 10 days since https://t.co/ZuybGWvRkH's Ignition program launched, the number of workers has grown from 26,000 to over 51,000 GPUs!

Listen to @angelaywyi give alpha about how consumer @Apple M1 / M2 / M3 chips are supported by https://t.co/ZuybGWvRkH (and are eligible to receive boosted rewards in the Ignition program).

[io.net @ionet]

Compute is the digital oil powering a new industrial revolution with AI at it's center.

@ionet_official is building the petrodollar - IO.

This is compute as a currency.

[io.net @ionet]

Join https://t.co/WLXlHkvE4z CSO/CMO @0xHushky and APAC Lead @TheAntiApe to talk about the growth of DePIN and the impact that decentralized compute networks will have on AI

[io.net @ionet]

Solving the compute shortage with the largest decentralized, geo-distributed compute network.

Let's bring AI to the world.

[io.net @ionet]

AI driven design platform @krea_ai is using @ionet to power it's innovative products like Real Time Prompting and other AI enabled design features.

Krea AI's powerful set of tools allow designers to instantly generate, edit, and create in real time.

https://t.co/VxmLjqXNzQ

[io.net @ionet]

https://t.co/ZuybGWvjv9 is partnering with Nimble Network to reshape AI development.

Together, we're integrating Nimble's decentralized training and inferencing workloads with https://t.co/ZuybGWvjv9’s extensive compute network. This means developers can now focus more on innovation rather than infrastructure management.

Follow @Nimble_Network to earn points and read more about it on Medium:
https://t.co/fSwri19cgX

[io.net @ionet]

That's a wrap on @LEAPandInnovate 2024!

The https://t.co/ZuybGWvjv9 team made a splash at the largest annual tech conference in Saudi Arabia this year, from kicking off a partnership with @TheSandboxGame to building an even larger base of suppliers and customers for the network.

Watch the highlights from the event below! We look forward to seeing you at our next event - Token2049 in Dubai!

[io.net @ionet]

ionet partners with @WOMBO to expand the use of Apple silicon chips in AI. This collaboration will leverage decentralized computing to power innovative ML applications and optimize GPU use. Find out more:
https://t.co/1q6kKgrygh

[addson @addson09]

https://t.co/gs03JbfGXM

[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]

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.

[addson @addson09]

https://t.co/Db25TDeXM8

[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]

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