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Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 3518 posts
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Evening Japanese Mini Lesson -- Hospital Examination Edition
Practical hospital examination conversation, 5 essential vocabulary words, ~てください grammar, and a phrase of the day
2026-03-01 · 3 min read #japanese#hospital#grammar#evening-japaneseFive Decisive Strategies for Opening Up the Black Box of Microservices with OpenTelemetry
Propagating business context with W3C Baggage, a hybrid automatic/manual instrumentation strategy, cost optimization through tail-based sampling, standardizing on Semantic Conventions, and choosing between OTLP gRPC and
2026-03-01 · 43 min read #opentelemetry#observability#microservices#distributed-tracing#otlpFluent Bit Complete Guide: Architecture, Configuration, and Kubernetes Integration for the Lightweight Log Processor
A comprehensive guide covering Fluent Bit lightweight architecture and pipeline (Input, Parser, Filter, Buffer, Output) structure, Kubernetes DaemonSet deployment, log routing, parser configuration, Elasticsearch/Loki/S3
2026-03-01 · 41 min read #fluent-bit#logging#observability#kubernetes#fluentdOrchestrating ML Training Pipelines with Airflow
Analyzing methods for automating ML training pipelines using KubernetesPodOperator, Dynamic Task Mapping, and more, based on the official Apache Airflow documentation.
2026-03-01 · 21 min read #airflow#mlops#ml-pipeline#orchestration#kubernetesReinforcement Learning Complete Guide: From Theory to the Latest Algorithms and Real Implementations
Derives the major algorithms with their mathematics — from the core theory of MDPs and the Bellman equations through Q-Learning, DQN, Policy Gradient, A3C, PPO and SAC — and pulls together RLHF, AlphaGo and robotics appl
2026-03-01 · 46 min read #reinforcement-learning#deep-learning#dqn#ppo#rlhfComplete Analysis of the GPT Series Papers: The Journey from GPT-1 to GPT-4, How Language Models Changed the World
A complete generation-by-generation analysis of OpenAI GPT series. From GPT-1 unsupervised pre-training, GPT-2 zero-shot learning, GPT-3 in-context learning and scaling laws, InstructGPT RLHF, to GPT-4 multimodal capabil
2026-03-01 · 36 min read #gpt#openai#language-model#transformer#pre-trainingLoRA: Efficient Fine-tuning of Large Language Models — Paper Analysis
A mathematical analysis of the core principles behind the LoRA (Low-Rank Adaptation) paper, along with practical implementation using HuggingFace PEFT.
2026-03-01 · 17 min read #ai-papers#lora#fine-tuning#llm#peftGAN Paper Deep Dive: How Generative Adversarial Networks Ushered in the Era of AI-Generated Content
From Ian Goodfellow's original GAN paper through DCGAN, WGAN, Progressive GAN, and StyleGAN -- we analyze the core theory of generative adversarial networks including the minimax game, Nash equilibrium, and training inst
2026-03-01 · 34 min read #gan#generative-model#adversarial-training#deep-learning#image-generationAttention Is All You Need - A Complete Analysis of the Transformer Paper
A thorough analysis of the "Attention Is All You Need" paper, the foundation of the Transformer architecture, breaking down its core mechanisms including Self-Attention, Multi-Head Attention, and Positional Encoding one
2026-03-01 · 18 min read #ai-papers#transformer#deep-learning#attentionFlashAttention: Optimizing Attention Through GPU Memory Hierarchy
A review of the FlashAttention paper with an in-depth analysis of IO-aware attention optimization leveraging the GPU HBM/SRAM memory hierarchy.
2026-03-01 · 18 min read #ai-papers#flash-attention#gpu#optimization#transformerKubernetes ML Model Serving: Complete Analysis of KServe and NVIDIA Triton
A systematic analysis of ML model serving architecture in Kubernetes environments based on KServe and NVIDIA Triton official documentation.
2026-03-01 · 19 min read #mlops#kubernetes#model-serving#kserve#tritonClaude Code Complete Guide: How to Revolutionize Development Productivity with Anthropic's AI Coding Agent
A complete guide to Anthropic's official CLI tool Claude Code — from installation to core commands, slash commands, MCP server integration, multi-agent architecture, IDE integration, CLAUDE.md usage, and custom hooks — a
2026-03-01 · 35 min read #claude-code#anthropic#ai-coding#cli#ai-agentThe Complete Guide to Terraform & Ansible Commands: Everything About IaC and Configuration Management
From Terraform's init through apply, state management, modules, and workspaces, to Ansible's ad-hoc commands, playbooks, roles, Vault, and Galaxy — a systematic write-up of every command in Terraform and Ansible, the two
2026-03-01 · 46 min read #terraform#ansible#iac#configuration-management#devopsCUDA Programming Fundamentals: Complete Guide to GPU Parallel Computing
Systematically analyze the core concepts of CUDA programming including thread hierarchy, memory model, and kernel development based on NVIDIA official documentation.
2026-03-01 · 24 min read #gpu#cuda#parallel-computing#nvidiaNginx Configuration Complete Guide: 15 Essential Topics from Architecture to Production Optimization
From Nginx event-driven architecture and configuration structure to reverse proxy, load balancing, SSL/TLS, caching, rate limiting, security headers, performance tuning, and health checks -- a comprehensive guide to 15 e
2026-03-01 · 33 min read #nginx#reverse-proxy#load-balancing#ssl#tlsThe Complete Guide to Docker & Podman Commands: Container Operations, All on One Page
From the architectural differences between Docker and Podman to image management, the container lifecycle, networking, volumes, Docker Compose vs Podman Compose, security (rootless), multi-stage builds, and debugging — a
2026-03-01 · 52 min read #docker#podman#container#devops#kubernetesThe Complete Guide to vLLM & Ollama: LLM Serving Engine Setup, Parameters, and Environment Variables
A comprehensive deep dive comparing vLLM PagedAttention architecture and Ollama local LLM runtime environments. Covers everything from installation, server startup, API calls, key CLI arguments, sampling parameters, envi
2026-03-01 · 46 min read #vllm#ollama#model-serving#inference#gpuOpenAI Codex Complete Analysis: From the Birth of AI Code Generation to the Evolution of Cloud Coding Agents
A complete analysis of OpenAI Codex covering the history of AI code generation and the evolution toward cloud-based coding agents.
2026-03-01 · 32 min read #codex#openai#code-generation#github-copilot#ai-codingKubernetes AI Training Pipeline: Analyzing Volcano, Training Operator, and Kueue
A deep dive into building distributed AI training pipelines on Kubernetes based on the official documentation of Volcano, Kubeflow Training Operator, and Kueue.
2026-03-01 · 21 min read #kubernetes#ai#distributed-training#volcano#kubeflowComplete Guide to GPU Memory Optimization and Mixed Precision Training
Analyze GPU memory components based on NVIDIA official documentation and cover memory optimization techniques including Mixed Precision Training and Gradient Checkpointing.
2026-03-01 · 22 min read #gpu#cuda#mixed-precision#optimization#deep-learning