For those who don't trade level to level, any time from now until 21 March seems to be a good place for a bottom.
I'm not calling a price level, wait for the fear and accumulate, 40 to 60% lower is even better. For me knowing the 'when' is better than 'where'.
1/ Introducing @zkLinkNova, the industry's first Aggregated Layer 3 zkEVM Network that seamlessly connects Ethereum and Ethereum Layer 2 Rollups.
More details 👉https://t.co/icEFPnyUrq
The Nova mainnet is integrated with ETH L2 leaders such as @zksync, @Arbitrum , @MantaNetwork, @LineaBuild@zksync@0xMantle , With many more L2s to come.
A 🧵 on the future of Layer 3s.
#ZKL #zkLink #AggregatedL3
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.
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.
Join https://t.co/WLXlHkvE4z 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
Join https://t.co/WLXlHkvE4z 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
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.
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
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