🔔 Introduction:
Today's AI is no longer just a simple 'question-answering' tool, but a multi-agent system capable of cross-platform planning and automatic task execution.
Chinese AI is no longer a follower but is starting to set its own standards, with local projects like Manus AI, Qwen, and ERNIE demonstrating their strength as they sprint in their respective fields.
1️⃣ Computing power cost, the biggest barrier to AI entrepreneurship
But no matter how strong AI is, without computing power, it is useless. The price of GPUs is outrageously high, becoming a 'roadblock' for AI startups, especially in training large models, where costs directly deter a batch of players.
As a global distributed GPU cloud, Aethir can solve this problem, providing high-performance, low-cost, on-demand decentralized computing power, which can reliably supply large enterprises while helping small and medium AI teams to operate efficiently, spending less on unnecessary expenses and achieving more.
2️⃣ AI goes global, cannot be limited by computing power:
Aethir is not just a computing power supplier, but a bridge for Chinese AI to go global. Its decentralized architecture supports global deployment, allowing Chinese AI companies' products and services to truly go abroad, instead of being constrained by local computing power.
Of course, future considerations will need to address compliance and access models, but the trend is already very clear.
🎯 Summary:
Aethir makes AI computing power no longer a bottleneck, helping Chinese AI showcase its strengths on the global stage, allowing good projects to no longer be limited by GPU's imagination.
#Aİ #人工智能 #Aethir