Recently, a series of new collaborations by @0G_labs clearly show that they are not just talking about technology, but are also gradually pushing their products into implementation.

For example, the DiLoCoX framework jointly developed by 0G and China Mobile has already been successfully implemented in real training scenarios: on a regular 1Gbps network, it can train models with hundreds of billions of parameters at a speed 357 times faster than traditional methods, and the training cost has been reduced by 95% 🚀. This significantly lowers the barrier for many teams looking to undertake AI projects. Especially for those with limited funds but wanting to implement models, 0G is truly usable 👍.

Another noteworthy aspect is the collaboration with Alibaba Cloud, which has already moved from paper to practical implementation. Now in the Asia-Pacific region, 0G is laying the foundational capabilities for AI+Web3, allowing developers to access more stable and enterprise-level computing power. This indicates that 0G is beginning to align itself with serving large AI applications, rather than just creating on-chain demos.

👨‍💻 At the same time, the Global Accelerator program, which is aimed at a global audience, is also advancing. The official funding amount can reach up to $25,000, with main support directions including AI Agent, privacy AI, distributed training, etc.

0G is gradually laying the groundwork for "trainable", "deployable", and "scalable" solutions. For developers, this is a good observation period or entry window.

#Starboard # Kaito @KaitoAI @Galxe