📖 AI-Native Infrastructure: Architecture evolution guide from cloud-native to AI-native

About

Learn about Jimmy Song, specializing in system-level architecture design for AI-native infrastructure and GPU virtualization.

About This Site

This is an original technical site maintained by Jimmy Song, focusing on systematic research and engineering practice in AI-Native Infrastructure, GPU Virtualization, and Heterogeneous Computing Governance.

The core question this site addresses is not model parameters or short-term technology trends, but rather how AI workloads can achieve stable, controllable, and efficient computing power usage in real production environments through proper infrastructure abstraction and resource governance mechanisms. Related topics include but are not limited to: heterogeneous computing resource models (especially GPU utilization efficiency), scheduling and isolation mechanisms, platform engineering, system governance, and the deployment of open source projects in industrial environments.

All content is organized based on long-term engineering practice, research writing, and public discussion. There is no content aggregation and no chasing of short-term trends.

About the Author

Jimmy Song has long been engaged in architectural research and open source ecosystem construction in cloud native and AI-Native Infrastructure.

Currently, I serve as Open Source Ecosystem VP at Dynamia.ai, responsible for ecosystem building, technical narrative, and community collaboration around the CNCF project HAMi, focusing on GPU virtualization, heterogeneous computing scheduling, and AI scenario resource governance.

I am also a CNCF Ambassador and founder of the Cloud Native Community (China).

Research & Practice Focus

My long-term focus centers on the following directions:

  • AI-Native Infrastructure: Re-examining infrastructure design assumptions at the resource modeling, scheduling, and governance levels from the non-deterministic nature of AI workloads
  • Computing Governance & GPU Virtualization: Improving resource utilization efficiency in heterogeneous hardware environments, researching GPU sharing, isolation, scheduling, and governance mechanisms
  • Cloud Native Architecture Evolution: Focusing on Kubernetes’s capability boundaries under AI workloads, and the evolution direction of platform engineering and system governance
  • Open Source Ecosystem & Standardization: Promoting engineering-verifiable, design-evolvable open source collaboration, and facilitating deep connections between Chinese and global communities

These directions point to a core question: How to evolve computing power from “scarce hardware resources” into governable, schedulable, and scalable infrastructure capabilities.

Writing & Publishing

I have authored or participated in translating multiple cloud native and architecture-related books, including “Deep Dive into Istio” and “Future Architecture”. In recent years, my main writing focus has shifted to AI-Native Infrastructure, GPU Virtualization, and Computing Governance, and I continue to organize and publish in the form of books, columns, and long-form articles.

Relationship Between This Site and My Work

The content on this site represents my personal engineering and architectural thinking in AI-Native Infrastructure and Computing Governance. These insights form the long-term methodological foundation for my work at Dynamia.ai.

For company-related products, business, and official commitments, please refer to information released through Dynamia’s official channels.

Collaboration & Contact

At this stage, I mainly work on GPU virtualization, heterogeneous computing scheduling, and open source ecosystem collaboration around Dynamia.ai and its related open source projects.

I only maintain long-term, constructive communication and collaboration with the following types of topics:

  • Technical and ecosystem discussions related to AI-Native Infrastructure, computing governance, and GPU virtualization
  • Community collaboration, engineering practice, and standardization exchange at CNCF / open source project levels
  • Research-oriented discussions on medium-to-long-term technical evolution or high-quality public sharing

If necessary for communication, please leave a message through this site’s Contact page. I will respond based on the direction and maturity of the topic.