HyperRebates

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.

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.

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.

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!

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).

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.

Over $400K in Worker earnings (just $100K in the last 21 days) in just four short months since launch. 40,000+ Workers in the network and over 3,800 GPU clusters deployed. AI/ML companies can create clusters of up to tens of thousands of GPUs for both model training AND inferencing.