AI has now become a mainstream trend, bringing a new challenge: the more widespread AI becomes, the more computing power it needs.
Training large models requires computing power. AI agents require computing power. In the future, as countless everyday applications integrate AI, they’ll need computing power too.
What’s the mainstream approach today?
Build more data centers, buy more GPUs, and stack up more servers.
But Acurast offers a different answer:
Why start by buying more machines instead of first making use of the computing resources that already exist around the world?
There are billions of smartphones worldwide, and most phones are actually under heavy use for only a limited amount of time.
While people sleep, while phones charge, or when they’re idle, these devices still have CPUs, memory, and storage.
What Acurast does is connect these distributed phones and turn them into a decentralized computing network that developers can access.
You can think of it this way: in the past, one large power plant supplied everyone with electricity. Now, countless small power sources are being connected together.
What makes Acurast truly valuable is that it addresses more than just where computing power comes from. It also tackles a more critical question: Why would anyone trust your phone with their task?
Acurast uses the trusted execution environment and hardware attestation built into phones, allowing the network to verify that tasks are being carried out as required on genuine devices, while protecting sensitive data during computation.
This means its goal isn’t simply to mine crypto on phones. It’s to make phones part of the cloud computing infrastructure.
Official figures: The network has reached 227,000 active processors, spanning more than 140 countries.
This shows that Acurast has moved beyond proof of concept and is now operating as a real network.
What we should be paying attention to isn’t how much ACU Acurast can help one phone earn in a day.
It’s whether billions of phones around the world can become a new pool of computing resources as demand for AI computing continues to grow.
If this model works, phones will be more than just consumer electronics.
This sector is still at an early stage, but if AI agents, on-chain AI, and privacy-preserving computing continue to grow, where computing power comes from will become an increasingly important question.
#Acurast #算力
Training large models requires computing power. AI agents require computing power. In the future, as countless everyday applications integrate AI, they’ll need computing power too.
What’s the mainstream approach today?
Build more data centers, buy more GPUs, and stack up more servers.
But Acurast offers a different answer:
Why start by buying more machines instead of first making use of the computing resources that already exist around the world?
There are billions of smartphones worldwide, and most phones are actually under heavy use for only a limited amount of time.
While people sleep, while phones charge, or when they’re idle, these devices still have CPUs, memory, and storage.
What Acurast does is connect these distributed phones and turn them into a decentralized computing network that developers can access.
You can think of it this way: in the past, one large power plant supplied everyone with electricity. Now, countless small power sources are being connected together.
What makes Acurast truly valuable is that it addresses more than just where computing power comes from. It also tackles a more critical question: Why would anyone trust your phone with their task?
Acurast uses the trusted execution environment and hardware attestation built into phones, allowing the network to verify that tasks are being carried out as required on genuine devices, while protecting sensitive data during computation.
This means its goal isn’t simply to mine crypto on phones. It’s to make phones part of the cloud computing infrastructure.
Official figures: The network has reached 227,000 active processors, spanning more than 140 countries.
This shows that Acurast has moved beyond proof of concept and is now operating as a real network.
What we should be paying attention to isn’t how much ACU Acurast can help one phone earn in a day.
It’s whether billions of phones around the world can become a new pool of computing resources as demand for AI computing continues to grow.
If this model works, phones will be more than just consumer electronics.
This sector is still at an early stage, but if AI agents, on-chain AI, and privacy-preserving computing continue to grow, where computing power comes from will become an increasingly important question.
#Acurast #算力