Danielnft50 (danielnft50)

What’s in for $TON builders using @fluence compute credits: You will cut costs significantly compared to what you would pay AWS or other big cloud providers. The platform delivers solid performance whether you’re running blockchain nodes, building games, or training AI models. Plus, the Fluence team will help you get set up and running smoothly.​​​​​​​​​​​​​​​​

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Infrastructure costs eating your margins? @fluence is offering Cloudless Compute Credits specifically for $TON builders cutting cloud spend by up to 85% while keeping performance intact. Who this is for: Projects running compute-heavy workloads (AI models, gaming servers, data processing) that are currently paying AWS/GCP/Azure rates. What’s included: -High-performance CPU & GPU access (including NVIDIA H100s for serious AI workloads) -Direct onboarding support not just credits, but help with migration and deployment -DePIN infrastructure that scales without vendor lock-in Grant amounts: • Builder tier: up to $5K • Growth tier: up to $10K • Enterprise: custom based on your compute needs If you are already spending on cloud infrastructure, this is basically free money to test decentralized alternatives at a fraction of the cost.

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Meet my hen! Ain’t she a beaut 🐓 Hatch yours now and earn some $EGGS https://eggs.name/use-my-cock/GH9MJ2Q

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Do you know? Derad Network offer workshops, webinars, and educational resources to raise awareness about the signs of radicalization and the importance of community resilience.

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Big upgrade for Fluence Providers Over the past few months, @fluence has been quietly rebuilding its provider infrastructure for better reliability, performance, and scale. The new setup brings serious power: ⚙️ EPYC Zen5 CPUs ⚡ DDR5 memory 💾 NVMe storage 🌐 1 Gbps network 🔹 Dedicated IP per virtual server Plus, a brand-new resource management system is now live making it easier for providers to handle compute resources efficiently. Fluence keeps pushing the limits of cloudless, decentralized infrastructure one upgrade at a time. $FLT

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If you have been putting off AI projects because GPU costs are insane, @fluence just launched some budget-friendly options that might change your mind. This is huge for indie developers and students who can’t drop thousands on cloud computing. You can finally train models and run experiments without watching your credit card bill explode. Before you commit, compare their prices to what you’re paying now you might be surprised how much you could save. And don’t worry, “cheap” doesn’t mean terrible performance. These are solid for learning, prototyping, or smaller projects.

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@fluence recently launched global and affordable GPU compute, and it was a major step forward for decentralized infrastructure. Instead of relying on expensive centralized clouds, you can now tap into decentralized network of GPU from around the world. It’s faster It’s cheaper It’s truly decentralized. It’s basically giving devs and AI builders the power to big tech, without the gatekeeping. I think DePIN and AI powered by real builders and real hardware This what the future of compute looks like.

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