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
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
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
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
The Ignition Program is live!
Connect a device and supply compute to the network at https://t.co/omQ1rhhTy6.
Visit @Galxe to view and complete quests.
Join the official Discord and participate in the community.
This is the start of AI for 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.
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.
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