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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
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
https://t.co/ZuybGWvjv9 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 https://t.co/ZuybGWvjv9, 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 https://t.co/ZuybGWvjv9 Ignition Program.
Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
https://t.co/ZuybGWvjv9 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 https://t.co/ZuybGWvjv9, 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 https://t.co/ZuybGWvjv9 Ignition Program.
Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
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.
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.
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.
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.
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).
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).
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.
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.
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.
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.
🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
🗓️ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL