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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.

Join io.net 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

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.

Nov 4 2023 to Feb 4 2024: 24K nodes on io.net Feb 5 2024 to Mar 17 2024: 89K nodes on io.net

Happy genesis block day @solana

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.

Community Notes: There are actually 72,495 GPU nodes on io.net

Building the world's largest AI compute DePIN means io.net 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 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads. Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on io.net, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases. Consumer Apple chips are also eligible to receive boosted rewards in the io.net Ignition Program. Discover the full article by @Cointelegraph on io.net's expansion to support Apple hardware here: cointelegraph.com/news/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.

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.

What makes @ionet_official different from other GPU aggregators on the market? @ionet_official's ability to form decentralized clusters by aggregating GPUs across multiple locations. Without clustering, it would be virtually impossible to train today's machine learning models, which are highly complex. This creates the opportunity for a 'structural arbitrage', allowing @ionet_official to offer unmatched cost efficiency and low latency GPU compute up to 90% cheaper than the competition.

Thanks for the coverage @The_NewsCrypto! @ionet_official raises $30M in funding to build the largest decentralized GPU network ever, solving the shortage of AI compute. The Series A round was led by @hack_vc, who were joined by @multicoin, @solanalabs, and more. Industry leaders such as Anatoly Yakovenk, founder of @solana, and founders of @Aptos, Mo Shaikh and Avery Ching, also participated in the funding round. Deep-dive into the full article by @The_NewsCrypto here: thenewscrypto.com/ai-focused…

That's a wrap on @LEAPandInnovate 2024! The io.net 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!

Solving the compute shortage with the largest decentralized, geo-distributed compute network. Let's bring AI to the world.

In just 10 days since io.net'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 io.net (and are eligible to receive boosted rewards in the Ignition program).

The AI compute DePIN space is just getting started. io.net 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.

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.