Thank you for sharing Apple with the world. 🦊🍎
What started as support turned into something truly special.
The $Apple community has now donated $78,345 to support Arctic Fox Daily Wildlife Rescue.
We are proud to stand with Apple, your mission, and everyone helping this little warrior.
@arcticfoxdaily@Pumpfun@donatedotgg
It’s happening. March 14, Pi Day, marks the issuance model change for Polkadot.
One of the specifications is the maximum supply of DOTs, which is visualised below.
Everyone wants AI.
But no one has enough chips.
The AI boom has triggered a global chip crisis. But there is already a solution.
Read more 👇
https://t.co/Yl8CgQxGzN
GPU prices continue to rise. Except when they don't.
Wondera, the AI powered music creation platform, scaled to 200,000 users across 171 countries while cutting compute costs by 75%.
Lower costs. Rapid growth. Instant access to powerful GPUs. They can go together. You just need the right partner.
Find out more: https://t.co/N1qL3tXv2j
Chip shortages and high costs are making it hard for most AI projects to compete.
Decentralized Physical Infrastructure (DePIN) is the best solution for these challenges.
And @solana is where it's happening.
In our latest blog, we break down @ionet's place in the Solana ecosystem and why the future of decentralized infrastructure and AI compute is being built there.
Check it out:
https://t.co/PotB1S3x3C
Times of crisis show why distributed compute is so important.
Centralized systems are fragile. Even one data center going down can take your workloads offline for hours, or days.
Distributed networks are resilient. They allow you to instantly spin up new GPUs where and when you need them.
@ionet provides access to powerful and affordable GPU clusters around the world. So no matter who you are, where you are, or what's happening, you always have the resources you need to keep your project online.
Find out more at https://t.co/7kbRmPlyN8
The AI cloud infrastructure market looks totally different than a year ago.
What's driving the change? Here's the highlights:
• Inference dominating training
• Cost-per-token replacing cost-per-GPU-hour
• Multi-cloud becoming the default
• Decentralized GPU networks entering the enterprise stack
What's now a $60 billion market is expected to grow to over to over $250 billion by 2030.
But, the future of AI infrastructure isn’t about who owns GPUs.
It’s about who orchestrates them best.
Find out all about the latest trends and outlooks it our latest blog: https://t.co/luqEYRj2Nn
💵 Just bought and burned 1,006,063 $DINO (0.1% of Total supply)
Proof here:
https://t.co/F7Sqj4UeWS
We have already burned ~129m $DINO (12.9%) since launch