Recently, a series of new collaborations by @0G_labs show that they are not only 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 actual training scenarios: it can train models with hundreds of billions of parameters on a regular 1Gbps network, achieving speeds that are 357 times faster than traditional methods, and reducing training costs by 95% 😱. This significantly lowers the barrier for many teams wanting to undertake AI projects. Especially for those with limited funding but looking to implement models, 0G is truly usable 👍.

Another noteworthy point 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 starting to align itself with serving large-scale AI applications 🚀, and is not just doing on-chain demos 🌤️.

👨‍💻At the same time, the global Global Accelerator program is also advancing, with official funding reaching up to 25,000 USD. The main support areas include AI Agents, privacy AI, and distributed training.

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

#KAITO # Starboard @KaitoAI @Galxe