Artificial intelligence (AI) is evolving, with AI agents emerging as autonomous systems capable of reasoning and acting independently, unlike traditional chatbots. Driven by advancements in large language models (LLMs) and new open standards like the Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol, interest in AI agents has surged. However, traditional cloud infrastructure struggles to support the demands of these intelligent agents, leading to inefficiencies and deployment challenges. In contrast, agent-native infrastructure is designed specifically for AI agents, facilitating seamless integration, dynamic scaling, and real-time processing. This innovation is unlocking diverse use cases across industries, from gaming to media. Companies like Unity demonstrate the transformative potential of AI agents in creating interactive environments and enhancing workflows. As these technologies mature, agent-native infrastructure promises to democratize AI deployment, similar to the transformation the cloud brought to applications, paving the way for widespread commercialization.
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