Guided by the “Four Trends”, today we officially introduce what we call the “Three-in-One” 🤖FF EAI Robotics Ecosystem Strategy, Technology & Product. This strategy includes three core components: EAI Device, EAI Brain & Open-Source and Open Platform, and EAI Decentralized Data Factory. It is an open-source, open-platform, and closed-loop EAI ecosystem. As the earliest U.S. Company to start scaled delivery for both humanoid and bionic EAI robotic devices, we believe that we will be given a clear first-mover advantage and could trigger a powerful chain reaction.
🌍Live Now: https://t.co/2m2t5EskVu @FaradayFuture #FFAI #FF #FX #EAI
This is a pretty clean example of what “cloudless” actually means in practice.
Instead of picking a region and trusting one provider, @fluence lets you spin up a virtual server on a decentralized network of compute providers, with pricing that’s transparent and predictable. Same specs you’d recognize from Web2 (vCPU, RAM, storage), but coordinated by a protocol rather than a single company.
What stands out here is the comparison at the bottom. You’re not being told to “believe in decentralization”, you’re being shown the cost difference side by side.
That’s the real story behind DePIN: taking idle or excess data-center capacity, turning it into an open market, and letting developers pay for compute without vendor lock-in.
Fluence’s mission clicks when you see it like this. It’s not trying to replace every cloud feature overnight. It’s starting with the most universal need (affordable, reliable servers) and rebuilding that layer as shared infrastructure. That’s how decentralized compute stops being theory and starts looking like an actual alternative.