Tag: #ml-engineering
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts
MLX Deep Dive — Apple's ML Framework for Apple Silicon: Unified Memory, Lazy Graphs, and the Mac-Native Flow (2026 Hands-On)
MLX is the array framework that Apple's ML team — the same people who previously built PyTorch and JAX — rewrote from scratch for Apple Silicon. The core thesis is one sentence: the M-series GPU shares RAM with the CPU,
2026-05-14 · 19 min read #mlx#apple-silicon#ml-framework#unified-memory#metalToss Bank ML Backend Engineer Study Guide: Server Architecture, ML Serving, and Career Roadmap ♪ Listenable
Complete analysis of Toss Bank ML Service Team JD. Server architecture design, large-scale traffic handling, AI model serving on K8s, MSA distributed tracing — with a 6-month study roadmap and interview preparation.
2026-03-21 · 34 min read #ml-engineering#backend#tossbank#kubernetes#python