AI, ML, and networking — applied and examined.
Abyssal
About Abyssal

About Abyssal

About Abyssal

Above the surface of the technical world, new concepts, frameworks, and models constantly surge; beneath it lies deeper mechanisms, principles, and directions of technological evolution. Abyssal was born for this purpose — a deep dive blog focused on AI, machine learning, and network technologies, dedicated to documenting my ongoing practices and reflections in the field of information technology.

Here, you will find:

  1. Practical Records of AI and Machine Learning
    • Engineering experiences with large language model (LLM) inference and deployment.
    • Performance optimization and accuracy trade-offs for production-ready models.
    • Best practices in data processing, feature engineering, and training pipelines.
    • Troubleshooting records with open-source and commercial AI frameworks such as PyTorch, vLLM, Ray, etc.
  2. In-depth Discussions on IT Infrastructure and Network Technologies
    • Server architectures, cluster setups, and GPU resource scheduling.
    • Network protocols, traffic analysis, and cloud architecture patterns.
    • Observability, security mechanisms, and architectural considerations for enterprise systems.
  3. Technical Trends and Personal Insights
    • Analyzing shifts in the AI industry from an engineering perspective.
    • Deep insights into underlying technologies.
    • Reflections on toolchains, development paradigms, and engineering culture.

Why “Abyssal”?

The abyss is not darkness, but depth. Here, I aim to transcend the surface noise of technology and delve into the essence of systems, the operational mechanisms of models, and the trade-offs in engineering decisions. Each record is an attempt to further explore unknown territories.

Blog Goals

  • Document genuine engineering experiences, not just superficial discussions.
  • Distill the essence of technology amidst complexity and chaos.
  • Let practice drive understanding and exploration foster growth.

Abyssal is my personal tech log and a window for exchanging thoughts with peers. Welcome anyone passionate about AI, machine learning, and network engineering to join in the discussion.